Artificial intelligence is reshaping how life sciences organizations approach the role of infrastructure to support its data-intensive operations. In the process, it is exposing limitations in legacy high-performance computing environments and accelerating a shift toward more flexible, hybrid data processing models. These dynamics were examined in a recent BizTechReports executive vidcast interview with Matthew Shaxted, CEO of Parallel Works, who described how AI-driven demand is forcing organizations to rethink how compute resources are provisioned, governed, and optimized across increasingly fragmented environments.

The 2026 ISG Buyers Guides for Human Capital Management Suites and Workforce Management provide the rankings and ratings of 50 software providers and their products for optimizing functions including HR, talent management, staffing and compliance. The series includes a comprehensive guide to HCM suites and a series of guides evaluating workforce management platforms, including core suites, industry-specific products and offerings from emerging providers. The research finds that advanced HCM and workforce management systems increase visibility into operations and accelerate and improve decision-making.

Managed service providers are confronting a widening gap between how they market their services and how enterprise and mid-market buyers evaluate technology partners. This is creating a structural inefficiency that is limiting growth across the sector. At the center of this trend is a fundamental shift in buying behavior. Technology buyers are no longer entering vendor-led sales processes at the beginning of their journey. Instead, they are completing the majority of their evaluation independently, often narrowing their consideration set before any direct engagement occurs. 

Customer expectations for AI in logistics are rising, even as most companies across the sector remain in the early stages of implementation. More than 40% of shippers now take logistics providers’ AI capabilities into account when selecting partners, but fewer than 10% currently treat AI as a mandatory criterion. At the same time, about 40% of logistics service providers have moved beyond pilots, while only about one in ten have scaled AI across core operations.

The 2026 ISG Provider Lens Digital Engineering Services (Large) report for the U.S. finds that organizations are shifting from siloed development to integrated engineering models that support enterprise-wide transformation. The report evaluates large service providers with annual revenue over $2 billion, and a later report will cover midsize providers. Companies are increasing investments in AI-enabled platforms and in services from large providers to achieve measurable business outcomes. The rapid evolution of large language models (LLMs) is changing business models and giving enterprises the confidence and capital to pursue broad AI and machine learning initiatives.

In mid‑market manufacturing, safety investments have traditionally been evaluated one system at a time — a new camera network here, an upgraded environmental sensor there. But according to Sharath Tadepalli, Director & Global Practice Leader for Data Science, Machine Learning and Artificial Intelligence at HGS, the real breakthrough comes when these legacy assets are connected and enhanced with emerging technologies such as artificial intelligence, machine learning, and the Internet of Things.

The survey found that 54% of CEOs said their automation was limited to specific tasks; by the end of 2028, only 13% expect to remain at this level. Conversely, 32% of CEOs expect their organizations to deploy self-learning and adaptable AI tools to assist with human decision-making, while 27% expect their organizations to operate primarily without human intervention, signalling a move to autonomous business ecosystems.

i2 Group, a Harris Computer company, has announced the launch of i2 Amplify, a community platform that brings together intelligence professionals, analysts, and investigators to collaborate, share expertise, and strengthen the use of i2 Group solutions in operational environments.

Omdia’s study, covering 50 neoclouds, finds that providers have scaled compute for AI workloads, but networking infrastructure is becoming a critical constraint. AI performance increasingly depends on the ability to process and move data securely across distributed environments and geographies.

The 2026 ISG Provider Lens global Mainframes — Solutions report finds that enterprises are shifting from one-time transformation efforts to multi-year modernization programs that prioritize continuity and controlled change. Organizations continue to rely on mainframes for mission-critical workloads, especially in regulated sectors, while integrating them with cloud-native environments. This approach reflects rising demand for flexibility, transparency and auditability as enterprises respond to growing operational complexity and talent shortages.

Worldwide PC shipments totaled 62.8 million units in the first quarter of 2026, a 4% increase from the first quarter of 2025, according to preliminary results by Gartner, Inc., a business and technology insights company.

According to preliminary data from the International Data Corporation (IDC) Worldwide Quarterly Mobile Phone Tracker, global smartphone shipments decreased 4.1% year-over-year (YoY) to 289.7 million units in the first quarter of 2026 (1Q26). This broke the 10 consecutive quarters growth streak that the market had seen since mid 2023. We expect the first quarter slowdown to be a mild precursor for what lies ahead in 2026 as the supply constraints around memory and price increases further dampen the market growth.

Workplace safety is undergoing a fundamental shift — moving from a box‑ticking exercise in compliance reporting to a strategy centered on practical and proactive risk reduction. Artificial intelligence, combined with the strategic use of existing operational infrastructure, is enabling organizations to identify hazards earlier, train employees more effectively, and integrate safety into the broader concept of the “employee experience.”

In an executive BizTechReports vidcast interview, Sharath Tadepalli, Director & Global Practice Leader for Data Science, Machine Learning and Artificial Intelligence at HGS, described how AI‑driven analytics are evolving beyond surveillance to become strategic tools for risk management, operational efficiency, and workforce engagement.

Organizations that report successful AI initiatives invest up to four times more (as a percentage of revenue) in foundational areas, such as data quality, governance, AI-ready people and change management, compared to those that experience poor outcomes from AI, according to Gartner, Inc., a business and technology insights company.

According to the IDC’s Worldwide AI and Generative AI Spending Guide, AI and generative AI (GenAI) spending in Asia/Pacific, including China and Japan, is projected to grow from $73 billion in 2024 to $370 billion by 2029, representing a fivefold increase at a compound annual growth rate (CAGR) of 38.4%. GenAI is the fastest-growing segment, expected to reach approximately $175 billion by 2029 at a 68.2% CAGR, making up nearly half (47.4%) of all AI spending in the region. This growth signals a shift from early adoption to enterprise-wide operationalization of AI.

More than a quarter of CEOs identify their chief financial officer as the biggest C-suite threat to their job security, according to new research from Boston Consulting Group (BCG). The finding comes as leaders also report facing heightened board scrutiny and clinically high stress levels. Together, these dynamics point to a broader pattern: the most acute pressures CEOs face often come from stakeholders closest to home, even as longer-term risks tied to turnover receive less attention.

By 2029, sales organizations with AI-driven enablement functions will achieve 40% faster sales stage velocity than those using traditional enablement approaches, according to Gartner, Inc., a business and technology insights company.

Worldwide smartphone shipments are forecast to decline 12.9% year-on-year (YoY) in 2026 to 1.1 billion units, according to the International Data Corporation (IDC) Worldwide Quarterly Mobile Phone Tracker. This decline will bring the smartphone market to its lowest annual shipment volume in more than a decade. The current forecast represents a sharp decline from our November forecast amid the intensifying memory shortage crisis.

By 2028, over half of all enterprises will stop paying for assistive intelligence (such as copilots and smart advisors) and instead will favor platforms that commit to workflow results, according to Gartner, Inc. a business and technology insights company.

In this emerging model, humans move from completing work with procedural software to supervising intelligent systems that execute on their behalf. The distinction doesn’t come from whether AI is a feature, but whether it possesses delegated authority to trigger actions across enterprise systems within policy and identity constraints.

According to International Data Corporation’s (IDC) India Monthly Wearable Device Tracker, India’s wearable device market fell 4.0% year-over-year (YoY) in 2025, to 114.2 million units, marking its second consecutive annual decline. The downturn was driven primarily by a 17.6% YoY drop in smartwatch shipments. Despite softer volumes, average selling prices (ASPs) rose 1.8% to US$20.3 in 2025, reflecting gradual premiumization and easing price erosion.