The Future of Work: Business Transformation and a Contingent WorkforceHeading

By Samuel Engram, VP of Client Services

COVID-19 forced many private and publicly traded companies to shift quickly to the next “normal” to ensure employee safety while remaining profitable.

Companies are a lot of time and money on technology infrastructure, digital and cloud technology, automation, and healthcare insurance-based safety risk management protocols (look here) to protect employees as well as profits. In doing so, many are seeing higher employee productivity through seamless connectivity and collaborative tools.

In a recent study by Microsoft published in the Harvard Business Review, employee and consulting partners are putting in longer hours. On average, workers added four additional work hours per week. Additionally, time spent in virtual meetings increased by as much as 10%, which has improved collaboration. Virtual meetings time has shortened compared to more traditional-person meetings as employees are becoming nimbler at time boxing work and personal activities that need to be done in order to support the company objectives and the household needs.


Approximately 48% of employees will work remotely in some capacity post COVID-19.

It’s estimated that more than 30% of workers will never go back to an office on a regular basis.
– Industry Insights by SAP


Gartner predicts that 32% of organizations are replacing full time employees with contingent workers to save cost. This creates opportunities for consulting firms like Paradigm who can quickly make the pivot in accelerating a virtual work environment via recruiting, onboarding talent, and customizing training to meet customer demands.

In the post-pandemic work environment, companies who traditionally formed organizations based on roles will shift to a focus on skills. Employees who once had opportunities to shift roles and responsibilities due to tenure may be replaced by contingent workers with the right skill to do the job. It is more important than ever – during and post-pandemic – for workers to seek certification and training to augment and fortify their knowledge and skills.

Talent sharing and freelancing – where contingent workers work for several companies and on various projects at the same time or where a contingent worker only works as needed in a part time capacity – will become a common form of working in the next normal. Recruiting, HR, and workforce leaders will need to rely on more robust distance learning, performance, and resource management systems to run their business successfully.

Remote work is here to stay and the transition through infrastructure investment, collaboration tools, and a shift to skill versus role-based talent is already underway. This is being led by companies like Facebook and Google, which have advised their employees to work from home through the new year. Twitter even encourages some associates to work from home forever. It is important for all of us to adapt to this new chapter to succeed.

Recent Posts

Executive Perspective: Why Securing Your Data is the Key to Winning with AI

As CXOs, we’re all focused on leveraging AI to drive efficiency, innovation, and competitive advantage. The conversation often starts with infrastructure (GPUs, LLMs, and copilots), but let’s be clear: AI doesn’t run on GPUs. It runs on data. And if our data isn’t secure, nothing else matters. Unsecured and unclassified data undermines trust, exposes us to risk, and jeopardizes the very AI strategies we’re betting our futures on. It’s not about chasing the next shiny tool; it’s about building a foundation that allows AI to scale safely, responsibly, and securely.

Quantifying the Value of Data in Financial Services

In the financial services sector, data is a critical asset that drives profitability, risk management, regulatory compliance, and competitive edge. However, measuring its value remains challenging for many CFOs across sectors of the financial services industry regardless of organizational size or country of operations. CFOs rely on accurate data for forecasting, budgeting, and strategic planning. Quality data leads to better decision-making, optimized capital allocation, and swift responses to market changes. It is also vital for risk management, regulatory compliance (e.g., BCBS 239, Basel III, AML/KYC), and avoiding fines and reputational damage. “Fit for Business Use” data also supports customer retention, personalized services, and improved revenue stability. Data-savvy CFOs leverage insights for long-term growth.

AI Starts with Data: Go From Hype to Results

AI continues to dominate the conversation in business. From executive meetings to strategic roadmaps, AI is no longer just a trend but a real driver of transformation. The challenge is that while nearly every organization is talking about AI, very few are prepared to use it in a way that delivers measurable outcomes and lasting impact. The difference between hype and outcomes almost always comes down to two things: the quality of your data and your organization’s readiness to execute.

Exciting Updates from Informatica World: Paradigm Embraces the Future of Agentic AI

The digital landscape is evolving rapidly, and staying ahead means embracing the latest innovations in data management and artificial intelligence. At this year’s Informatica World, Paradigm is thrilled to share the groundbreaking advancements unveiled by Informatica, centered around their latest agentic AI solutions on the Intelligent Data Management Cloud (IDMC) platform.

Modernizing PowerCenter: The IDMC Way – Better, Faster, Cheaper

For many organizations, Informatica PowerCenter has been the workhorse of their data integration for years, even decades, reliably driving ETL processes and populating data warehouses that feed BI reports. However, this longevity often leads to a complex environment that can hinder agility and innovation.

Boost Growth with Data-Driven Hiring for Boutique Consultancies

Consistency is key to a boutique consultancy. Delivering quality services day in and day out, even as client demand fluctuates, relies heavily on having the right talent at the right time. Perhaps one of the largest operational challenges for small and mid-sized consulting firms, though, is matching recruitment cycles with cyclical demand. Without scalable, data-driven talent practices, consultancies can suffer from misaligned capacity, lost revenue streams, and stalled growth.

Strategies for a Successful Journey in Building the Dream Team

In the whirlwind world of project management, the success of a project often hinges on the strength and consistency of the team behind it. Imagine embarking on a journey where building a high-performing project team is not just about assembling a group of skilled individuals; it’s about fostering collaboration, trust, and a shared sense of purpose. Based on my personal experiences, let me take you through this journey with some strategies I use to help you build and lead a high-performing project team.

The Ultimate Guide to AI-Enhanced APIM Analytics for Enterprise Success

Enterprises increasingly rely on Application Programming Interface (API) Management (APIM) to streamline their operations, enhance customer experiences, and drive innovation. Azure API Management is a comprehensive solution enabling organizations to manage, secure, and optimize their APIs efficiently. However, beyond API management, APIM analytics – particularly when integrated with AI and data analytics – empowers senior executives with critical insights for real-time decision-making.

Why PMOs that Leverage Power BI are More Successful

Project Management Offices (PMOs) are increasingly turning to Microsoft Power BI as a game-changing tool to enhance their project management processes. By leveraging data visualization and analytics, PMOs can make informed decisions, streamline reporting, and improve overall project outcomes.