Every business needs a CRM system to optimize workflow management and build better customer engagement. Flexible advantages exist when you build your own CRM instead of purchasing commercial off-the-shelf CRM solutions. You will learn the sequential process of making a tailored CRM solution for your business through this instruction.
Why Do I Need a Custom CRM for My Business?
Understand the Benefits of Build a Custom CRM Off-the-shelf solutions will never match what your business exactly needs or processes. A custom CRM will be designed to cater to your specific requirements. It is meant to improve efficiency, grow, and thrive with your business. As well, it can easily integrate with your existing tools, so you can more effectively use your data and improve customer service.
Step 1: Define Your CRM Requirements
Understand Your Business Needs
Every custom CRM development process starts with understanding your business needs. Which objectives drive the need to implement CRM infrastructure? Customer segmentation alongside sales tracking and marketing automation and customer service management are among the features that interest you. Sound decision-making requires advice from everyone in sales and marketing and customer support departments
Identify Key Features
Some common features include:
Lead Management: Track and manage potential customers.
Sales Pipeline: Monitor sales activities and performance.
Customer Interaction Tracking: Track and maintain a record of customer touches for personalized communications.
Reporting & Analytics: The system enables you to obtain insights that lead to improved business decisions.
Automation Tools: Other than automated email marketing the system enables follow-up reminder systems.
Create your list of the features and prioritize them as per your business goals.
Step 2: Select the Right Technology
Choose your Development Framework
After defining your CRM requirements you need to choose the technology stack for implementation. The programming languages along with frameworks recognize and tools comprise the technology stack of a CRM system.
Common technologies used:
Frontend Development: React.js, Angular, Vue.js
Backend Development: Node.js, Python, Ruby on Rails
Database Management: MySQL, PostgreSQL, MongoDB
Hosting & Infrastructure: AWS, Google Cloud, Microsoft Azure
The technology that you choose depends on your team’s expertise and scalability needs along with the other software you have to integrate it with.
Step 3: Design the CRM Interface
Keep it User Experience (UX) oriented
A good CRM design should be user-friendly and intuitive. A complicated or confusing system can hurt adoption rates. Work with a designer to create a simple, easy-to-navigate interface that focuses on clear options and easy access to key features.
Optimize for Mobile
Since most team members will use the CRM on their mobile, the system must be mobile-friendly. A responsive design will allow a user to get access and management of data over different devices.
Step 4: Building of the CRM System
Building Core Features
Once the design is finalized, the development stage starts. First, build in all the must-have features: lead management, sales tracking, and reporting. Never forget to add security features such as user authentication and data encryption to ensure sensitive information is protected.
Integrate with Other Tools
Your CRM will be completely effective only when it is aligned with other tools that you probably use for work, like the email platforms and calendars, or social media or third-party applications. This helps ensure your CRM can serve as an all-inclusive hub for interacting with customers.
Step 5: Test and Refine the CRM
Extensive Testing
Run exhaustive tests to identify bugs, errors, and performance issues before launching your custom CRM. Test every feature lead management, sales tracking, reporting, and integrations so that everything is working as expected.
Collect User Feedback
Once the CRM passes the initial tests, invite key users to test it in real-world conditions. Collect feedback on usability and functionality. Use this input to refine the system and make any necessary adjustments to improve the user experience.
Step 6: Launch and Train Your Team
Deploy the CRM System
After successful testing, it is time to deploy your CRM across the company. Monitor its performance after launching and resolve technical issues that might arise.
Train Your Team
Training is necessary to ensure your team can maximize the use of the CRM. Provide tutorials, user guides, and live training sessions to familiarize everyone. The more they know about the system, the better they will use it.
Step 7: Ongoing Maintenance and Updates
Monitor and Optimize
After launch, building a custom CRM doesn’t end there. Its maintenance is an ongoing process in order to ensure the system’s security and its optimization. Get updated with new features and reviews the system at times for any improvements or new functionalities.
Knowing the Costs of CRM Software Development
Factors Influencing CRM Software Development Costs
Complexity: A CRM that is highly complex with many feature sets and personalization will cost you more.
Development Team: This can be a deciding factor depending on whether you opt for in-house or third-party development services.
Technology Stack: Your technology and infrastructure can also add up to your expenses.
Custom Features: The more customized your CRM, the higher the cost.
The development cost of unique customer relationship management systems spans from $10,000 to surpass $100,000 based on these key elements.
Conclusion
The implementation of custom CRM solutions delivers benefits that enhance both customer relationships and internal operational cohesion while setting a development path toward sustainability. This guide will outline the steps to take to create a CRM for your business to meet unique business needs. Consider including in your budgeting planning the custom CRM development cost as part of your investment. A new CRM should help you apply careful planning and proper execution in making it a great tool for your business.
The U.K. Government’s new “AI Opportunities Action Plan” has been met with optimism, but a closer look reveals glaring flaws. Underfunded and lacking structural reforms, it fails to address Britain’s AI talent drain, insufficient funding and high energy costs. Without urgent action, the U.K. risks falling further behind global AI leaders.
The U.K. Government’s new AI plan was unveiled in mid-January. And, for an administration struggling to lift the mood of British business, it was curious to see the plan meet with such a warm reception.
For when you look closely at the “AI Opportunities Action Plan”, its shortcomings quickly become apparent: namely, it’s grossly underfunded and does little to tackle the structural reasons why Britain is now lagging in the global AI race.
This isn’t just a miss for the U.K.’s AI sector; it’s a blow to the broader economy today and tomorrow.
Britain is struggling to attract and retain top technological talent, to build a robust capital ecosystem for innovation, and to keep a lid on energy costs – all issues that are pivotal to rapid and sustained AI progress.
Prime Minister Keir Starmer had a prime opportunity to stake Britain’s claim to AI leadership. Yet seen from the viewpoint of the global AI community – those shaping the future direction of these technologies – the announcement only underscores that Britain is set to fall even further behind the likes of the U.S., China, Canada and France.
The U.S. stands in a particularly stark contrast given President Trump’s early AI announcements. While Washington is yet to coalesce around a neat, comprehensive AI policy, the nation’s AI output—via OpenAI, Anthropic and others—reflects decades of research, development and funding that Britain has thus far been unable to emulate.
Indeed, the U.K.’s current AI shortcomings are present at every phase of the company development cycle. We’ve seen in our data the brain drain that Wall Street has executed, where only one third of banking AI talent actually works for a U.K. bank. This is true across the many sectors and industries AI is now disrupting and transforming.
The AI talent that the U.K. retains lacks access to the massive risk capital available to U.S. startups. Our convoluted investment landscape is flanked by a waning national commitment to R&D. Few AI companies stay in the U.K. long enough to hit the public markets; those that do are greeted by a London Stock Exchange that has been knocked off its perch by other more attractive financial centres.
From an energy perspective, while this AI framework seeks to build better – and much needed – energy infrastructure inside AI Growth Zones, reducing planning requirements for data centres is highly unlikely to be an AI game-changer given how high the U.K.’s energy prices are compared to its AI rivals. Even if the tenants of the policy function as planned, the national grid appears woefully unprepared for demand that experts say would require the capacity of a large nuclear facility.
Even where the AI plan outlines good ideas, the timing is off. For example, setting up a National Data Laboratory could have long-term research benefits, but targeting Summer 2025 for the first deliverables puts the U.K. well behind France, which has set up concrete systems to improve access to open data since 2018 and invested €2.5 billion towards AI development as a part of the France 2030 plan.
It’s indicative of a broader problem: lack of implementation. While other countries are sharing specific AI use cases, the 50 recommendations included in the U.K. policy are still largely centred on exploring the impacts of AI policy changes rather than implementing it.
Look again to the U.S., where the government recently laid out more than 1,600 AI use cases in play across federal agencies – something it’s done since 2022. By Autumn 2023, the government had just 74 AI use cases actively deployed.
The U.K.’s plan for sectoral AI Champions, who will “help identify” spots where AI “could be a solution,” may be a small step towards changing that, but the U.K. Government’s talent push still trails the U.S., where more than 200 of the 500 planned public-sector AI hires were already in place as of last summer and agency appointments of Chief AI Officers are underway.
Lagging AI implementation is hardly limited to the public sector. In our own data benchmarking AI adoption in the world’s most prominent banks, HSBC is the only British institution that ranks among the top 10, and all of the evidence points to the U.S. banks extending their lead over the City of London.
To show serious intent about incentivising AI growth, Keir Starmer and his Government needed to answer critical questions around talent, energy and funding. As it stands, the AI Opportunities Action Plan has arrived five years too late and without any meaningful response to the biggest AI challenges facing the country. Having an AI strategy is certainly better than not having one, but the fact remains, without urgent action – and investment – to address its structural shortcomings, there’s no hope of Britain becoming an AI superpower.
Alexandra Mousavizadeh is Co-Founder of Evident Insights, an intelligence platform tracking AI adoption in financial services, helping leaders make informed AI-related investments and strategic choices. A former economist for Moody’s and Morgan Stanley, Alexandra was the architect of the groundbreaking Global AI Index, benchmarking the strength of national AI ecosystems.
With a continued pursuit to enhance business competitiveness, further innovations are necessary to keep up with market demands. Can a tool such as Artificial Intelligence (AI) be utilised to build human resources and enhance productivity?
The emergence of AI found its use in a myriad of things – from being a search engine, information generator, research, curating multimedia content, among others. Given the versatility of AI’s capabilities, it is more than qualified to be utilized for enhancing worker productivity.
Using AI to enhance worker productivity
Dell’Acqua et al., 2023 conducted a worker productivity and quality on AI study and found that a group who used AI was able to complete more tasks with higher efficiency and quality than those who did not. There was a 40% performance improvement for the group using AI. Interestingly, it also allowed for the worst performers to significantly perform better by 43%, as compared to the top performers who witnessed a 17% performance improvement.
This begs the question: what is it about AI that improves the quality and efficiency in accomplishing such projects? Simply, AI makes a process easier, faster, and more efficient. Because of AI’s capability to streamline mundane tasks, it helps workers by facilitating better outputs and opportunities for both the organisation and its employees (Deranty & Corbin, 2024).
Such can be programmed to specialise in different roles catered to the needs of your company and employees (Marr, 2024). However, it is essential for professionals to understand the capabilities and limitations of AI. In this way, managers and supervisors will be able to delegate as necessary. As a type of AI, machine learning (ML), which allows computers to learn from data and perform tasks without specific instructions by using algorithms to analyze large amounts of data, identify patterns, and make predictions (Brown, 2021), it is employed to perform routine roles, while the professional will handle analytical tasks. Not only will the integration of AI into daily operations reduce potential errors and losses, but it will also allow the company to upscale production (Shen & Zhang, 2024). Thus, allowing for assignments to be fulfilled more efficiently, both in quality and quantity. The emergence of deep learning (DL), which is a type of ML that uses artificial neural networks to learn from data, inspired by the human brain, can be used to solve a wide variety of problems, including image recognition, natural language processing, and speech recognition anchored on supervised (i.e., discriminative) learning, unsupervised (i.e., generative learning), hybrid learning, and relevant others (Sarker, 2021). Figure 1 illustrates the interrelationship between AI, ML, and DL.
Figure 1. The relationship of AI, ML, and DL.
Source: Constructed by the authors
The beauty of adopting AI in the workplace is it provides employees an opening to partake in other more significant roles in their organization (Gibson, 2024). It is essential to perceive AI as not just a mere tool because it is capable of greater things. Rather, AI should be viewed as an assistant (Heaps, 2024). AI is a technological advancement made to streamline one’s workflow and automate repetitive tasks, thus supporting workers in improving their outputs efficiently (Bin Rashid & Karim Kausik, 2024). Working in collaboration with technology will allow it to complement humans’ abilities and expertise. This cooperation will allow humans and machines to gain insights, allowing both to yield better outcomes (Wilson & Daugherty, 2018). For example, given an organization’s data and what’s publicly available, the program can be configured to create conclusions based on specified parameters. Once a response has been automated, this is where a person’s subjective intuition is employed. While the software is helpful in decision-making, nothing beats an employee’s experience. AI may be capable of processing an abundance of data and is objectively precise and accurate. However, AI does not possess the capability to make decisions while taking ethics and empathy into account. The human brain remains the best machine in the world, for these machines do not have the same inherent creativity and ethical and moral knowledge which humans have developed and are able to apply based on specific circumstances. (McKendrick & Thurai, 2022).
A few examples where AI can be helpful is by instructing it to conduct data analytics (e.g., analyse the main determinants of a company’s revenues and engagement data; synthesise previous reports and create questions based on news and company data). Organizations nowadays have even automated AI as customer service agents, handling even complex ticket concerns.
AI as a caretaker or protector
Apart from AI being used to enhance productivity, it can also be an instrument towards improving workers’ well-being. (García-Madurga et al., 2024). Workplace well-being is defined by the Croft et al. (2024) as the presence of a supportive culture that values employee contributions and works toward empowering its workers through provision of resources catering to reducing burnouts and improving their mental and physical health.
Recently, the healthcare industry has been shifting towards utilising AI to analyse employee’s health data and provide assistance in curating wellness programs based on each individual’s needs (Javaid et al., 2023). Furthermore, it can predict any potential occupational hazards that negatively impact an employee’s mental and physical well-being. However, there is a need for a managerial role in determining whether or not these suggestions and programs are feasible and appropriate. Not only will job quality enhance because of more opportunities, but AI also advocates for elevated wellness programs and safer workspaces. A case of an organization revolutionising healthcare is IBM Watson Health that combined ML and data analytics to make health indicators more accessible while improving efficiency and reducing risks of employees (Küster, 2024). Such sophisticated technology not only helps individuals manage their health but also assists health practitioners reduce weeks’ worth of conducting medical research and synthesising patients’ health profiles; allowing them to higher patient volumes (IBM, 2016). Their health-focused business unit partnered with multiple companies and industries to use their AI technology, including human resources, agriculture, and manufacturing amongst others (Lotze, 2023). Case in point, their partnership with the American Heart Association (AHA) started in 2016 for two primary reasons: to measure workplace safety and to better assess employees’ health via AHA questionnaires and data (Pai, 2016).
The ethical use of AI
While AI offers the promise of convenience, it is imperative to avoid the tendency to fully depend the apparatus. Its purpose is to augment worker productivity and the quality of their work without undermining human skills (Isham et al., 2021). While ML was programmed to answer prompts correctly, it may still yield misleading results. Believing these incorrect results is known as hallucinations (Dell’Acqua et al., 2023). While AI is able to answer questions through training, lack of data or training results in misperceptions which create AI hallucinations and present inaccurate or illogical results (Awati & Lutkevich, 2024). Having the tendency to depend on AI could prevent a person from further honing the skills they need to be able to maximise the potential of these systems (Zhai et al., 2024).
AI can only be a complementary force if the person using it does not simply accept the answer it serves, but analyses and processes it further. As sophisticated as AI is, it is not invincible to making mistakes (Neeley, 2023). However, workers using such technology have the capability to reassess whether the output is both accurate and feasible to be applied in professional practice. Furthermore, humans should be capable of critical thinking and understand how and why AI generated such output and conclusion. Essentially, while AI is beneficial in streamlining processes and analysing a vast amount of data, the ultimate decision-maker should be the human. Just like new employees, AI has to be trained before it can be an effective assistant. Thus, the worker who is capable of making creative and logical decisions should call the shots instead of AI. Again, AI is just a supplementary tool.
The future is AI
Society is moving towards a world that will require professionals to set up a system wherein humans and AI will need to coexist and work together (Annamalai & Vasundandan, 2024; Köves et al., 2024). The International Monetary Fund (IMF) predicts that AI will affect 40% of jobs, mainly those requiring cognitive abilities such as computer and mathematical jobs, administrative work, financial and legal operations, and more by means of both replacing and complementing (Cazzaniga et al., 2024; Georgieva, 2024; Shrier et al., 2023). This calls for the need to begin shifting towards refining workers’ routines by amalgamating the use of ML. This shift also calls for a modification in human skills – a transition towards developing new work capabilities.
The integration of the use of new technology with positive reinforcement not only provides opportunities to improve employees’ learning capabilities and upskill, but it also helps remove fear of obsolescence in their respective fields (García-Madurga et al., 2024). Only when an organisation embraces change can they move forward into elevating their workforce into an innovative system where AI and professionals augment one another’s capabilities.
Way forward
To further reinforce productivity and expand the economy, AI can be a viable partner for augmenting workforce capability. Overall, AI was made to be used for streamlining menial and rudimentary processes. The machine can handle the mundane and repetitive tasks while humans can focus on the strategic analysis and tasks that are of higher value. The coexistence and collaboration between humans and AI is possible as long as there is a positive and proactive adoption and implementation (Zirar et al., 2023). Rather than resisting AI, organisations should embrace this new technology and keep an open mind to the improvements it can yield for their output quality. It is a technological development that is should be a complement to humans’ work rather than a threat to replace them. This phenomenon is known as Industry 5.0 or the Fifth Industrial Revolution or 5IR, where new technology is utilised solely for efficiency and productivity while maintaining employment and workers’ well-being at the center of the process (Kraaijenbrink, 2022). It also encompasses the notion of harmonious human–machine collaborations, with a specific focus on the well-being of the multiple stakeholders (i.e., society, companies, employees, customers) (Noble et al., 2022). Thus, the advancement of AI, ML, and DL also allows for the orchestration of new roles requiring new skills.
Implementing the ethical use of AI, and maximising the opportunities that come with it, can drive growth and overcome hurdles in keeping up with demand. However, it is also important to prevent the tendency to depend on the tool. The ultimate goal is to use it to allow workers to partake in more meaningful and higher value work.
Rischelle Alysha T. Legaspi is an economist at Oikonomia Advisory & Research, Inc. She is also a candidate of the Master of Science in Industrial Economics degree at the University of Asia and the Pacific (Philippines). Her research interests are macroeconomics, sustainability, and development economics.
John Paolo R. Rivera is senior research fellow at the Philippine Institute for Development Studies where he is involved in the study areas of macroeconomics, tourism development, trade and industry. He also founded Oikonomia Advisory & Research, Inc. He is the recipient of the 2024 Outstanding Young Scientist in the field of Economics by the Philippine Department of Science and Technology – National Academy of Science and Technology.
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Career-focused resolutions hold a unique place, intertwining personal growth with professional achievement. A recent survey by Jobseeker, which polled over 1,000 American workers, sheds light on the trends, challenges, and strategies surrounding career resolutions for 2025 and beyond.
The Growing Relevance of Career Resolutions
Jobseeker’s findings reveal that a remarkable 85% of U.S. workers made career-related resolutions for 2024, with an equal number intending to set similar goals for 2025. These resolutions are more than mere wish lists—they reflect a workforce intent on adapting to a rapidly evolving job market. Goals like acquiring new skills, securing promotions, or transitioning to new roles directly influence financial outcomes and job satisfaction.
Yet, the disparity between ambition and achievement is striking. Only 9% of workers successfully reached all their career goals for 2024, while about half made significant progress. These figures point to the need for strategies that bridge the gap between expectation and reality.
The Challenge of Goal-Setting
Setting career resolutions is easier for some than others. Younger workers, particularly Gen Z, lead the charge, with 91% participating in this annual ritual compared to just 65% of Baby Boomers. Junior and mid-level employees, however, find it harder to achieve their goals than their senior counterparts. This may reflect a lack of clarity, resources, or the ability to set realistic, actionable objectives—skills that often come with career experience.
The survey also highlights the universal appeal of career development goals. In 2025, employees will prioritize skills development and work-life balance. Hard skills like data analytics remain crucial, but soft skills such as adaptability and collaboration are increasingly sought after. Meanwhile, work-life balance resonates strongly with all generations, albeit for different reasons.
Overcoming Obstacles in a Competitive Landscape
For many, achieving career resolutions feels like an uphill battle. Sixty percent of respondents cited job market competition and limited resources as significant hurdles, while 58% mentioned work-life balance challenges. These concerns are compounded by broader workplace trends, such as the rise of remote work.
While remote work expands opportunities for job seekers, it also intensifies competition by enabling employers to tap into global talent pools. This underscores the importance of continuous skill development for employees aiming to remain competitive.
To mitigate these challenges, employers must address systemic barriers to personal growth. Providing access to professional development resources, fostering positive workplace cultures, and promoting clear goal-setting can have transformative effects on workforce satisfaction and productivity.
The Employer’s Role in Supporting Career Goals
Employers have a vested interest in helping employees achieve their career resolutions. Beyond enhancing individual satisfaction, such efforts yield tangible benefits for organizations. Research consistently links employee happiness to higher productivity, reduced turnover, and improved collaboration.
Jobseeker’s experts offer actionable strategies for employers:
Structured Goal-Setting: Provide templates and guidance to help employees articulate clear, achievable objectives and break them into manageable milestones.
Personalized Development Plans: Collaborate with employees to align career aspirations with organizational goals, ensuring relevance and mutual benefit.
Investment in Training: Offer internal workshops, skills-swapping sessions, and access to external learning platforms to support continuous learning.
Cultural Support: Cultivate a dynamic, flexible work environment that values growth and innovation.
Generational Awareness: Tailor support mechanisms to the specific needs of different age groups, from tech-savvy Gen Z to work-life balance-focused Boomers.
Ultimately, creating a supportive workplace culture is critical. Jobseeker’s survey emphasizes the importance of fostering engagement, reducing “quiet quitting,” and creating an environment where employees feel valued. Simple yet effective strategies, such as introducing productivity apps or encouraging regular breaks, can make a significant difference. Time-blocking software, for example, helps employees manage their schedules more effectively, while coffee breaks foster collaboration and creativity.
The Role of AI in Career Progression
Artificial intelligence (AI) is poised to be a game-changer for career development. While 38% of surveyed workers believe AI will create more good jobs, 41% fear it may reduce opportunities. Despite this ambivalence, 85% of respondents plan to integrate AI into their workflows in 2025.
AI tools can streamline mundane tasks, freeing employees to focus on higher-order objectives. For example, automation and data visualization tools, already utilized by 49% and 46% of respondents respectively, enable workers to tackle complex problems more efficiently. AI-driven training platforms can further accelerate skill acquisition, bridging gaps in employee capabilities and fostering career growth.
A Vision for the Future
Both employees and employers have a role to play in achieving career resolutions. Workers must set clear, actionable goals, while organizations should provide the resources and support needed to make these aspirations a reality. In an era of rapid change and intensifying competition, the ability to adapt, learn, and grow is more important than ever. By aligning personal ambition with organizational strategy, the workforce of tomorrow can achieve its full potential, paving the way for a more engaged, productive, and satisfied professional landscape.
President Donald Trump’s recent announcement of a full-time, five-day-a-week return-to-office (RTO) mandate for federal employees has sparked heated debates across the nation. Framed as a strategy to reduce the size of the federal workforce and boost efficiency, this decision overlooks a critical consequence: the potential loss of the government’s most experienced and skilled employees. If history is any indication, this sweeping policy could usher in a new wave of resignations that would undermine the very efficiency it seeks to enhance.
We don’t have to speculate blindly about what might happen. Just two years ago, President Joe Biden’s more moderate RTO mandate, which tried to increase the amount of time federal staff worked in the office, triggered a substantial increase in turnover rates among senior and skilled employees. A groundbreaking study conducted by Mark Ma and his colleagues at the University of Pittsburgh, using data from Revelio Labs, provides clear evidence of the damage caused by Biden’s RTO announcement. This research not only quantifies the losses but also offers critical insights into the repercussions of Trump’s far more stringent policy.
Biden’s RTO Policy Hurt Retention
In March 2022, President Biden urged the “vast majority” of federal employees to return to their offices at least 60% of the time as pandemic conditions improved. This hybrid RTO policy, less demanding than Trump’s full-time directive, still caused significant disruption. Turnover rates among senior employees—those ranked as directors, supervisors, or higher—spiked by 26% following the announcement. These individuals, equipped with decades of institutional knowledge and leadership expertise, found themselves more likely to exit federal employment for opportunities in the private sector, where remote work flexibility remains a highly valued norm.
Turnover rates among senior employees—those ranked as directors, supervisors, or higher—spiked by 26% following the announcement.
Similarly, the impact on highly skilled employees was profound. Those with advanced qualifications and specialized abilities experienced a 32% increase in turnover. These individuals, who often possess the most sought-after skills in technology, science, and management, represent the intellectual and operational core of federal agencies. Their departure has left many departments struggling to maintain efficiency and continuity in their operations.
This exodus was not an isolated trend. Across federal agencies, including key departments like Defense, Health and Human Services, and Homeland Security, the data consistently pointed to a troubling reality: employees with the most to contribute to the public sector were the most likely to leave when faced with an inflexible return-to-office policy.
The impact of Biden’s RTO policy is supported not only by the Pittsburgh study but also by other authoritative sources. The Government Accountability Office (GAO), in a November 2024 report, evaluated four federal agencies—Farm Service Agency (FSA), the IRS, U.S. Citizenship and Immigration Services (USCIS), and the Veterans Benefits Administration (VBA)—to examine the effects of telework policies on recruitment, retention, and performance. The findings are illuminating.
Agencies with robust telework policies, such as VBA, which reported telework at 66% of total hours worked, experienced significant advantages. Telework helped broaden the IRS’s talent pool, enabling the agency to attract customer service representatives from regions far beyond its physical office locations. Similarly, USCIS reported a significant boost in applicant interest for positions offering telework, demonstrating its appeal to prospective employees.
In contrast, agencies with minimal telework opportunities, such as the Farm Service Agency (where only 11% of hours were teleworked), faced pronounced recruitment and retention difficulties. FSA officials attributed these challenges, in part, to restricted telework availability. While compensation and workload pressures were also cited as factors, the lack of flexibility in telework options emerged as a clear deterrent to attracting and retaining top talent. These findings align closely with the turnover data from Biden’s RTO policy, underscoring the risks of rigid in-office mandates.
Telework: A Proven Tool for Productivity and Satisfaction
In its report, OPM found that 72% of federal supervisors believe telework has either maintained or improved employee productivity.
Further support for telework as a retention and productivity tool comes from the Office of Personnel Management (OPM). In its report, OPM found that 72% of federal supervisors believe telework has either maintained or improved employee productivity. Additionally, 84% of federal employees with telework opportunities reported higher job satisfaction, citing improved work-life balance as a primary factor. The Federal Employee Viewpoint Survey further confirmed these trends, with 78% of respondents agreeing that telework positively contributes to their work-life integration. These statistics not only validate the effectiveness of telework but also highlight its critical role in retaining high-performing employees.
The broader implications of these findings are clear: when federal agencies offer flexible work options, they strengthen their ability to attract and retain talent while maintaining productivity. Conversely, mandating a full-time return to the office, as Trump’s policy proposes, is likely to reverse these gains, driving away employees who prioritize flexibility and work-life balance.
The Implications of Trump’s Full-Time RTO Mandate
If Biden’s hybrid model caused such a sharp rise in turnover, Trump’s full-time RTO mandate is poised to accelerate the brain drain on an unprecedented scale. Senior employees, already disproportionately affected by RTO requirements, are likely to leave in droves. These individuals often have extensive professional networks and the financial stability to transition to private-sector roles that offer remote or hybrid work arrangements. Similarly, skilled employees, who were 32% more likely to quit under Biden’s policy, are now presented with an even starker choice: abandon the flexibility they value or abandon their federal careers.
The consequences of this talent loss will reverberate far beyond individual agencies. Federal departments rely on their senior and skilled workforce to navigate complex challenges, implement policies, and deliver services efficiently. Losing these employees en masse risks not only operational disruption but also a decline in public trust, as citizens experience delays and inefficiencies in essential services. Trump’s mandate, while aimed at reducing the federal workforce, risks creating a crisis that will cost far more than it saves.
Since its founding in 1948, Dupaco Community Credit Union has been a leader in innovation, security, and exceptional member service. With over 160,000 members across the U.S., the credit union has continuously adapted to new challenges to safeguard its members’ financial well-being.
In response to rising fraud threats and increasing demand for 24/7 support, Dupaco partnered with interface.ai to deploy its Voice AI Agent, an industry-leading solution that has set a new benchmark for security, efficiency, and member experience.
Combatting Fraud with Cutting-Edge AI Technology
Fraudsters are leveraging AI-driven schemes to exploit financial institutions, making fraud prevention a top priority for Dupaco. Recognizing that fighting AI-driven fraud requires an equally powerful AI-powered defense, the credit union implemented interface.ai’s multi-layered authentication system. This state-of-the-art security approach, known as the “three-legged stool,” combines AI, voice biometrics, and caller anti-spoofing to offer an unparalleled level of protection.
The system performs over 100 real-time verification checks within seconds of a call, achieving an impressive 68% call authentication rate. Dupaco is also preparing to integrate device biometrics, making it the first financial institution to adopt this advanced security measure in AI-powered banking.
“With such advanced threats, any one security system can fail. But when you layer in five, six, or seven different solutions like interface.ai does, you are protected from this in the most secure way possible,” said Todd Link, Chief Risk Officer at Dupaco Community Credit Union.”
“And better still, we don’t need to purchase each tool and try to tie them together. interface.ai has created a cohesive security ecosystem that we can plug into, and that’s where the true value comes in.”
While the primary goal is to prevent fraud, the AI-powered authentication approach also enhances the member experience by eliminating the need for lengthy verification questions. Members can complete transactions faster while enjoying a seamless, secure banking experience.
Driving Efficiency & Cost Savings with AI Automation
Beyond security, Dupaco has embraced AI automation to improve efficiency and reduce costs. Since implementing interface.ai’s Voice AI Agent, Dupaco has:
Automated 46% of total calls, reducing the burden on human agents.
Achieved 80% after-hours call automation, ensuring 24/7 support without additional staffing costs.
Generated $350,000 in annual net savings, transforming its contact center from a cost center into a value-generating hub.
“interface.ai’s Voice AI Agent has generated a net savings of $350,000 in one year,” Link noted. “I am really excited about the future of what we can do together as partners because we are in the infancy of this project.”
By handling routine inquiries, such as balance checks and fund transfers, AI allows Dupaco’s human agents to focus on more complex member needs. This shift enables deeper engagement and personalized financial guidance, further strengthening member relationships.
Enhancing Member Experience & Engagement
While cost savings and security improvements were major motivators, Dupaco also prioritized elevating the member experience. Modern banking customers expect fast, accessible, and frictionless interactions, and interface.ai’s Voice AI Agent delivers exactly that.
Members can access essential banking services 24/7, regardless of time zones or work schedules.
Spanish-speaking members, which comprise 7-10% of Dupaco’s customer base, now receive linguistically accurate, culturally nuanced support thanks to AI’s native Spanish capabilities.
AI-driven automation frees human agents to focus on high-value interactions, such as financial consultations and problem resolution.
“If a member needs their balance, AI can handle that instantly. But when they want to discuss their financial well-being or sensitive issues, our agents are now available for those deeper conversations that truly help our members,” Link emphasized.
Setting a New Standard in AI-Driven Banking
Dupaco Community Credit Union’s partnership with interface.ai exemplifies how AI can transform financial services. By integrating Voice AI technology, Dupaco has created a member-first ecosystem that enhances security, reduces costs, and delivers seamless banking experiences.
Dupaco is not only keeping pace with industry trends but also setting the gold standard for the future of credit union banking. interface.ai’s Voice AI Agent has transformed Dupaco’s fraud prevention while retaining the beautiful foundation of the credit union movement.
During a press conference with PM Netanyahu on Tuesday evening, President Trump said the United States “will take over” the Gaza Strip. Around the world, observers were shocked. But the statement didn’t come out of the blue.
“The US will take over the Gaza Strip and we will do a job with it too,” Trump said during the conference. “We’ll own it and be responsible for dismantling all of the dangerous unexploded bombs and other weapons on the site, level the site and get rid of the destroyed buildings.”
Asked to elaborate on his “takeover” comment and whether he was willing to send US troops to fill a security vacuum in Gaza, Trump did not rule it out. “We’re going to take over [Gaza] we’re going to develop it.” Even though Trump willing to bury the refugee agency UNRWA, he added: “I do see a long-term ownership position, and I see it bringing great stability to that part of the Middle East, and maybe the entire Middle East.”
Trump, a real estate tycoon himself, said he had studied the matter “closely, over a lot of months.” Gaza, he suggested, could become a “Riviera of the Middle East.”
In effect, the idea goes back to his son-in-law, a secret plan of an Israeli ministry, and a long-term effort at ethnic cleansing.
“The US will take over the Gaza Strip”
Source: Screen capture from White House/ABC News/YouTube
Kushner’s dream of “Gaza Riviera”
In March 2024, amid the ongoing genocidal atrocities, Jared Kushner, President Trump’s son-in-law, said that the Gaza waterfront property could be very valuable, suggesting Israel should remove civilians as it “cleans up” the Strip. As Trump’s senior foreign policy adviser, Kushner had been tasked with preparing a peace plan for the Middle East. So, his comments unleashed a tsunami of international indignation.
Kushner had a direct stake in the outcome of the Gaza War. After his time at the White House, he founded a private equity firm deriving most of its funds from Saudi government’s sovereign wealth fund. He invested the millions into Israeli high-tech, which plays a central role in the military and security equipment used in the occupied territories, including the Gaza War.
Kushner characterized the Gaza atrocities as “a little bit of an unfortunate situation there, but from Israel’s perspective I would do my best to move the people out and then clean it up.” In his first term, Trump reversed decades of U.S. foreign policy toward the Middle East almost overnight. Now, after the Trump press conference, it seems that the ultra-conservative, oligarchic administration that seems to lean on Christian Zionism is intent to go far further – despite the likely costly and lethal consequences.
“A Little Bit of an Unfortunate Situation There”
Source: Screen capture of Harvard’s Middle East Initiative
There was little new in the issue of removing Palestinians and taking over their land. These ethnic expulsions began years before the establishment of Israel in 1948. Clouded by misrepresentations ever since, they entered a new level after the Israeli ground assault in late 2023.
Gaza’s Population Transfer
Barely a week after October 7, Israel’s intelligence ministry, which oversees policies related to the intelligence organizations Mossad and Shin Bet, prepared a secret memorandum. In fall of 2023, the ministry was headed by Gila Gamliel, a veteran of Netanyahu’s Likud Party, who had been criticized for taking bribes, fraud and violation of trust; although investigations had been halted in the absence of sufficient evidence.
The memorandum sought to persuade the United States and other countries to support Israel goals, enumerated thus:
Overthrow of Hamas’ rule.
Evacuation of the population outside of the combat zone for the benefit of the citizens of the Gaza Strip.
It is necessary to plan for and channel international aid to reach the area in accordance with the chosen policy.
In every policy, it is necessary to carry out a deep process of implementing an ideological change (de-Nazification).
The selected policy will support the state’s political goal regarding the future of the Gaza Strip and the final picture of the war.
Oddly, the ministry associated its efforts to achieve ideological change in Gaza with a process of “de-Nazification.” Though fully misaligned with the realities of Gaza, the terminology reflected the Likud’s longstanding efforts to use the Holocaust in ideological efforts to identify Hamas with al-Qaeda and both with the German Nazis.
The ominous Option C
The secret document outlined three possible options:
The population remaining in Gaza and the import of Palestinian Authority (PA) rule.
The population remaining in Gaza along with the emergence of a local Arab authority.
The evacuation of the civilian population from Gaza to Sinai.
Of these three, the memo recommended C: the forcible transfer of Gaza’s 2.3 million residents to Egypt’s Sinai as the preferred course of action. It encouraged Israel’s government to lead a public campaign in the West to promote the transfer plan. This would be done by presenting the expulsion of Gaza’s population as a “humanitarian necessity.”
The challenge was to enlist Washington to exert pressure on Egypt, along with other countries in Europe and the Middle East, to absorb the Palestinian residents of Gaza. During the war, Israel should “evacuate the civilian population” to the northern Sinai “and [prevent] the return of the population to activities/residences near the border with Israel.”
The classified memo was distributed exclusively to the Israeli military elite. But it soon leaked sparking a global firestorm over the “advocacy for ethnic cleansing.” Meanwhile, the ministry was advised by an Israeli thinktank seeking to cash on the ethnic cleansing.
Investing in the Cleansed Gaza Beachfronts
Only days after October 7, the Misgav Institute for National Security & Zionist Strategy called for the forced transfer of Gaza’s population to the Sinai. It also saw ethnic cleansing as a commercial opportunity.
The hawkish right-wing think tank was headed by Meir Ben-Shabbat, Netanyahu’s close associate and an ex-head of Israel’s national security council, who had played a role in Gaza wars since 2008 and in the U.S.-brokered Abraham Accords. To Netanyahu’s hawks, these accords were the first step in ejecting Palestine from the Middle East talks.
Released in Hebrew on Misgav’s website, the report was written by Amir Weitman, an investment manager. Leading the Likud’s libertarian faction, Weitmann was close to intelligence minister Gamliel. His asset management company had a largely U.S.-trained, American-Jewish and Israeli team aligned with U.S. multinationals and Silicon Valley.
Weitman claimed his plan aligned “well with the economic and geopolitical interests of the State of Israel, Egypt, the USA and Saudi Arabia,” despite the stated opposition of all these Arab countries, Western European capitals and Saudi Arabia. Riyadh had little incentive to inflame regional destabilization, which would penalize Saudi Vision 2030, its huge modernization and diversification program.
“Return to Gaza”
Weitman’s idea was eventually to turn Gaza to Israel’s far-right Jewish settlers. So, in January 2024, the far-right Israeli settler organization hosted the “Return to Gaza Conference.” Attended by Israeli cabinet ministers and members of its parliament, it presented a map showing plans for the re-establishment of 15 Israeli settlements and the addition of 6 new ones. Netanyahu cabinet’s national security minister Itamar Ben-Gvir was seen dancing at the conference.
Source: Al Jazeera/AJ Labs (Jan 29, 2024)
President Trump’s statements left apprehensive the White House correspondents, the Palestinians and Gaza, the regional leaders and foreign capitals. Did Trump commit the U.S. military to long-term occupation in Gaza, while tacitly condoning Israel’s effective incorporation of the West Bank? Were the administration and its Middle East envoy, Steve Witkoff, a real estate tycoon himself, sensing an oligarchic opportunity in the “demolition site,” as they called Gaza? Was Trump relying on imperial presidency to impose Netanyahu’s Jewish one-state solution on the Middle East?
Panama to Greenland and now in Gaza, the Trump administration is dragging the ailing U.S. economy ever closer toward an economic and geopolitical edge.
The original commentary was published by Informed Comment on February 5, 2025.
President Donald Trump’s latest remarks on Gaza have sparked international backlash, with leaders from the Middle East and Europe condemning his assertion that the U.S. “will take over” the war-torn region. The White House press secretary attempted to clarify Wednesday, claiming Trump was advocating a “temporary” resettlement of Palestinians—seemingly contradicting his earlier proposal to relocate them permanently.
Meanwhile, newly confirmed Attorney General Pam Bondi is expected to launch a review of cases against Trump. This comes as tensions rise within the Department of Justice, with a senior official accusing FBI leadership of “insubordination” over its handling of January 6 investigations. Additionally, the Trump administration has announced that at least 40,000 federal employees have agreed to resign as part of a sweeping workforce reduction, with layoffs looming for those who do not.
Trump also signed an executive order Wednesday banning transgender women from participating in women’s sports, escalating his administration’s efforts to restrict transgender rights. The move is expected to face immediate legal challenges, adding to an already contentious policy record.
With international condemnation growing and domestic policy changes stirring controversy, Trump’s latest actions signal a turbulent period ahead.
This Int-reserve.com review highlights the platform’s commitment to safeguarding users’ assets through robust security measures. The platform employs state-of-the-art encryption and implements strong risk management protocols to ensure that users’ trades and personal data remain protected. Int-reserve.com focuses on creating a secure environment for all of its clients, prioritizing safety as a core feature of the platform. Whether it’s securing financial transactions or safeguarding sensitive personal information, the platform does it all.
InternationalReserve, the organization that operates Int-reserve.com, takes extra steps to ensure the highest level of security for its traders. With advanced security measures like two-factor authentication (2FA) and cold storage protection, the InternationalReserve platform keeps client funds and data secure. Regular security updates and independent third-party audits further ensure transparency and reliability. As the market landscape evolves, Int-reserve.com Review remains dedicated to providing its users with a secure and trustworthy platform to make informed, confident trading decisions.
Top Security Features
Security is a key priority for any online platform, and InternationalReserve stands out by offering a range of robust security features. To ensure the safety of users’ funds and personal information, the platform integrates top-tier protection mechanisms, making it a secure environment for both novice and experienced traders. With the increasing number of cyber threats in the digital space, the platform employs multiple layers of security, including firewall protection, intrusion detection systems, and real-time monitoring of accounts.
Additionally, the InternationalReserve platform continuously enhances its security infrastructure, keeping up with the latest cybersecurity developments. Whether it’s the latest technology to detect fraud or the implementation of secure protocols for transactions, every feature is aimed at minimizing vulnerabilities. This ongoing effort to maintain high-security standards ensures that users can trade confidently, knowing their funds and data are protected from cyber threats.
Protection of Personal Data
Personal data protection is another crucial aspect of online trading, and this platform prioritizes safeguarding users’ sensitive information. The InternationalReserve platform implements strict privacy policies to ensure that personal details such as identification, banking information, and trading activity are handled with the utmost care. By adhering to international data protection regulations, the platform ensures compliance with privacy laws, such as GDPR, providing users with confidence in how their data is being used.
In addition to its adherence to privacy regulations, the platform employs advanced data protection technologies that encrypt sensitive information both during transmission and at rest. This means that personal data is inaccessible to unauthorized parties, ensuring that sensitive user information remains confidential. Whether a InternationalReserve user is accessing the platform from a computer or mobile device, their personal details are safeguarded throughout their trading experience.
Advanced Encryption and Risk Management
Advanced encryption techniques are fundamental to maintaining the confidentiality of user transactions, and this platform excels in using encryption to protect sensitive information. End-to-end encryption ensures that data is scrambled during transmission, making it unreadable to any unauthorized parties. Whether a InternationalReserve trader is executing a buy or sell order or simply managing their account, their personal and financial information is kept safe from malicious actors. These encryption methods meet industry standards, providing users with peace of mind that their data is being securely transmitted.
Moreover, the InternationalReserve platform’s advanced risk management tools are designed to offer further protection. These tools allow users to set stop-loss orders, limit their exposure, and manage trades more effectively to minimize risk. By providing real-time risk analysis, the platform helps traders make informed decisions and reduce the potential for significant losses. This dual approach of encryption and risk management creates a solid security framework, ensuring users can trade safely and confidently.
Two-Factor Authentication
Two-factor authentication (2FA) has become a standard security feature in online platforms, and this platform offers it to further safeguard users’ accounts. By requiring InternationalReserve users to provide two forms of identification—typically a password and a code sent to their mobile device—2FA adds an extra layer of protection. Even if an unauthorized person gains access to a user’s login credentials, they would still need the second form of verification to access the account, significantly reducing the chances of fraud or hacking.
This feature is highly recommended for all users, as it adds an additional security measure that is easy to enable and provides enhanced protection. The InternationalReserve platform allows users to choose between different 2FA methods, ensuring flexibility based on personal preferences. Whether through an SMS code, email verification, or an authenticator app, the platform’s 2FA system is designed to offer a robust, user-friendly approach to account security. By implementing this feature, the platform demonstrates its commitment to securing users’ trading accounts against unauthorized access.
Regular Security Audits and Updates
The security of an online platform is only as strong as its ability to adapt to new threats. This platform prioritizes regular security audits and updates to ensure its defenses are always up to date. These audits are conducted by both internal security teams and independent third-party experts to identify any potential weaknesses or vulnerabilities within the system. By conducting thorough and frequent security assessments, the platform can address potential risks before they become an issue for users.
Furthermore, the InternationalReserve platform regularly releases security updates to fix any identified vulnerabilities, ensuring that the system remains secure and reliable. This proactive approach to security ensures that users can trust the platform to stay ahead of emerging threats and continue to provide a safe trading environment. Whether through patching software vulnerabilities or upgrading encryption protocols, these updates help maintain the integrity of the platform’s security infrastructure. By consistently performing security audits and updates, the platform demonstrates its commitment to maintaining a secure and trustworthy trading environment for all users.
Conclusion of the Int-reserve.com Review
In conclusion, the security features outlined in this Int-reserve.com review showcase the platform’s strong commitment to providing a safe and protected trading environment for its users. From advanced encryption techniques to the implementation of two-factor authentication, each security measure plays a crucial role in ensuring the integrity of user data and funds. The platform’s proactive approach through regular security audits and updates highlights its dedication to staying ahead of emerging threats and continuously improving its defenses.
Moreover, the protection of personal data remains a top priority, with strict adherence to privacy regulations and the use of industry-standard encryption to safeguard sensitive information. Based on the Int-reserve.com review, it is clear that this platform takes security seriously, giving users the peace of mind they need to focus on their trading strategies without worrying about potential risks.
The content of this article is provided for informational purposes only and should not be interpreted as a recommendation. The author disclaims any responsibility for any actions taken by the company during your trading activities. Please be aware that the information included in this article may not be entirely accurate or current. Your trading and financial decisions are entirely your own responsibility, and it is crucial not to rely solely on the content provided here. We do not offer any warranties concerning the accuracy of the information on this platform and disclaim any liability for losses or damages resulting from your trading or investment choices.
All the photos in the article are provided by the company(s) mentioned in the article and are used with permission.
In the world of proprietary (prop) trading, success hinges on an intricate understanding of market dynamics. Market microstructure refers to the mechanics of how orders are placed, executed, and influence price movements. While many traders focus solely on technical indicators and price action, those who delve deeper into market microstructure gain a competitive edge.
A well-informed prop trader recognises that markets are not just about price fluctuations but about the forces driving those movements. Liquidity providers, institutional players, and algorithmic traders all contribute to shaping market activity, and understanding their behaviours allows prop traders to anticipate movements before they unfold.
The Role of Order Flow and Liquidity
Order flow is a vital component of market microstructure. It provides insights into the demand and supply of assets, revealing key trading opportunities. Liquidity, on the other hand, determines how smoothly trades are executed and at what cost.
Key aspects of order flow and liquidity include:
Bid-Ask Spread – The difference between buying and selling prices, indicating market efficiency.
Order Book Dynamics – The collection of buy and sell orders that dictate price movement.
Market Impact – How large orders affect price stability and volatility.
By analysing order flow, traders can identify whether buying or selling pressure dominates the market, allowing them to position themselves advantageously ahead of price shifts.
Market Depth and Price Action Insights
Market depth provides a real-time view of available liquidity at different price levels. Unlike basic price charts, depth-of-market (DOM) tools enable traders to gauge the strength of price movements and detect areas of high buying or selling interest.
Understanding price action within the context of market depth allows traders to:
Identify key support and resistance zones.
Detect hidden liquidity pools where large players enter and exit.
Recognise price manipulation tactics used by institutional traders.
Instead of relying solely on lagging indicators, prop traders who incorporate market depth analysis gain a more proactive approach to trading.
How Institutional Traders Shape the Market
Institutional traders play a dominant role in market microstructure. Their strategies, order placements, and execution methods create ripple effects that influence price movement.
Some key ways institutions impact the market include:
Iceberg Orders – Large orders broken into smaller ones to avoid detection.
Spoofing and Layering – The strategic placement of orders to create false supply or demand perceptions.
Volume Clustering – Accumulating positions at specific levels to drive price movement.
Prop traders who understand these institutional tactics can better position themselves to trade in alignment with the market’s dominant forces rather than against them.
High-Frequency Trading and Market Efficiency
High-frequency trading (HFT) firms use sophisticated algorithms to execute trades at ultra-fast speeds. These traders contribute to liquidity but also create volatility and price fluctuations.
Understanding how HFT impacts the market enables prop traders to:
Adjust their strategies to account for sudden price movements.
Avoid trading during algorithmic-heavy periods of market instability.
Leverage speed and order execution efficiency to stay ahead.
Traders who ignore the influence of HFT risk being caught off guard by price swings and losing out on potential trading opportunities.
Risk Management Through Microstructure Awareness
Market microstructure knowledge not only improves trade execution but also enhances risk management. Recognising market inefficiencies and potential liquidity gaps helps traders mitigate risks associated with slippage and order execution delays.
Some risk management techniques derived from microstructure insights include:
Placing Orders at Key Liquidity Zones – Reducing the impact of slippage.
Avoiding Low-Liquidity Periods – Ensuring trades are executed at fair prices.
Using Volume-Based Stop Losses – Aligning exits with genuine market structure instead of arbitrary levels.
Traders who incorporate market microstructure into their risk strategies are better equipped to preserve capital and sustain long-term profitability.
Adapting Strategies Using Market Microstructure Data
Markets are ever-changing, and the ability to adapt is essential for long-term trading success. By leveraging microstructure data, prop traders refine their approaches based on real-time market conditions.
Key adjustments traders make using microstructure insights:
Switching Between Trend-Following and Mean-Reversion Strategies – Based on liquidity and order flow conditions.
Adjusting Trade Size According to Market Depth – Avoiding excessive exposure in low-liquidity scenarios.
Timing Entries and Exits More Accurately – Using order book analysis to confirm trade decisions.
Rather than relying on outdated strategies, traders who adapt to microstructure signals stay relevant and competitive in a fast-evolving market.
The Competitive Advantage for Prop Traders
In proprietary trading, the margin between success and failure is razor-thin. Market microstructure knowledge provides an invaluable edge that separates the best traders from the rest. Understanding how orders flow, liquidity shifts, and institutional players operate allows traders to make smarter, more calculated decisions.
Bookmap’s prop firm analytics solutions enable traders to visualise and interpret microstructure data with precision, ensuring they remain ahead of the competition. Prop traders who master market microstructure develop a level of intuition and adaptability that allows them to thrive in any market condition.
By Terence Tse
CFOs are evolving into AI-driven transformation orchestrators, balancing finance, technology, and strategy while upskilling teams, managing risks, and driving measurable business value.
A key insight from this year’s AI for CFOs event, organized...
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Dr. Gleb Tsipursky
