Nearly half of technology leaders admit they are behind schedule on their data and analytics strategy, highlighting the critical need for a data-centric approach in IT operations.

Gartner’s report reveals nine key data and analytics trends for 2025 including consumable data products, advanced metadata management, data fabric, synthetic data, AI agents, small language models, and decision intelligence platforms. As D&A becomes ubiquitous, leaders face pressure to deliver substantially more value while navigating organizational challenges and heightened expectations.

KPMG’s report shows AI rapidly transforming finance, with 71% of companies using AI and leaders achieving 57% higher ROI than expected. The study identifies three maturity levels (leaders 24%, implementers 58%, beginners 18%) with accounting and planning as primary focus areas, while generative AI adoption is accelerating across all finance functions.RetryClaude can make mistakes. Please double-check responses.

MIT Technology Review’s 2024 report outlines a roadmap for scaling AI from pilots to enterprise deployment. It emphasises improving data quality, infrastructure, and governance, managing costs, and adopting cautious strategies to ensure safety and compliance. Nearly all companies expect increased AI spending despite risks. [MIT Technology Review Insights July 2024]

This McKinsey report highlights AI-driven demand for data centres, forecasting a threefold rise in US power needs by 2030. Addressing this demand requires $500 billion investment, alongside innovation in power infrastructure, sustainability, and workforce training to prevent bottlenecks in AI’s progress. [McKinsey September 2024]

MIT Technology Review’s 2024 report highlights the critical need for robust data strategies to harness generative AI’s potential. Organisations must address persistent data governance, quality, and integration issues to unlock efficiency and innovation. Only 22% of businesses are “very ready” to support AI applications. [MIT Technology Review Insights 2024]

The 2024 KPMG report evaluates US digital transformation trends, highlighting advancements in profitability, challenges in keeping pace with technological changes, and prioritisation of AI, cybersecurity, and sustainability. Despite progress, financial constraints and legacy systems hinder competitiveness, stressing innovation and governance for sustained growth. [KPMG September 2024]

Gain insights from Mark Wells, CTO of Esri UK, as he discusses the transformative power of location intelligence in our latest interview. Learn how advancements in AI and GIS are driving data-driven decision-making across various industries, from sustainability to logistics. Discover how Esri UK is pioneering geospatial technology for a smarter future through real-world applications and expert insights.

Unlock the Power of Customer Data: Discover Innovative Solutions for B2B Marketing Success with TechPros.io’s Expert Roundtable on Integrating and Leveraging Siloed Data.

Adaptive artificial intelligence (AI) systems, data sharing and data fabrics are among the trends that data and analytics leaders need to build on to drive new growth, resilience and innovation.

Data is changing the game in life sciences. Industry leaders share insights on using data analytics to drive innovation. Discover the need to break down data silos, boost data skills, ensure data quality, be flexible, and get more value from data projects. Explore how tackling these challenges can speed up new discoveries and treatments in life sciences.

TechPros.io’s Challenge Forum brought together industry experts to address the challenges of migrating enterprise data from legacy systems to modern infrastructures. The forum provided practical insights and strategies based on real-world modernisation experiences.

The global pandemic brought travel to a halt, at a time when the sector was already facing huge competition from Internet-based start-ups with agile technology and fast, personalised customer service. Radical change is necessary for organisations to survive and even thrive.

Imagine if it were possible to produce infinite amounts of the world’s most valuable resource, cheaply and quickly. What dramatic economic transformations and opportunities would result?

In today’s dynamic insurance landscape, businesses face challenges, from increasing natural disasters to digital-savvy customer expectations, requiring innovative solutions to remain competitive.

How should data be captured and stored, what is the most efficient way of processing information? How can insights inform business processes to create engaging products and services that earn trust and win loyalty? How should data strategies be financed?

Organizations are increasingly seeking to offer customers compelling personalized services. However, issues like high-profile data breaches, overly intrusive digital marketing, and inaccurate customer assumptions resulting from poor data handling can all cause customer dissatisfaction and damage reputation.

Every company must establish its own best practices for managing its data. Here are five pitfalls to avoid based on our conversations with experts and early adopters.

The potential effect of advanced analytics on grocery retail is great, but retailers will need to seize the opportunity.

The banking, financial services and insurance sector is facing unprecedented change and uncertainty. At a time when many organisations are looking to reduce costs and gain market share, increased competition has arrived in the form of agile start-ups.

TechPros.io first eMagazine features video insights from leading telcos on the topics of network resilience and disaster response, the field worker experience, and strategies for reducing customer churn in this sector.

The future of a connected Britain rests on the widespread availability of 5G and Full Fibre to homes and businesses. For the network operators and vendors, this is a complicated journey to navigate.

The telecommunications industry is undergoing a major digital transformation. From modernising their products and services to transforming their networks and infrastructure, the major driver is to provide new and higher quality services in an extremely competitive landscape.

Historically the CFO and Finance function have been associated with accounting and reporting, not data governance. But given increasing market pressures and business expectations, Finance has developed beyond being a mere data cruncher.

With the ever-increasing data needs of multiple stakeholders and consumers in an enterprise, we see that data architectures are evolving significantly to meet the rising demand.

Organizations across the globe are being challenged to transform digitally, with telecom companies facing major changes to their network infrastructure, such as FTTH and 5G rollout. These challenges are forcing many global providers to rethink their software and network infrastructure.

At the beginning of 2020, the commercial real estate sector had quite a lot on its plate: moratoriums on rent, large areas of cities going quiet due to lockdowns, and major debates sparking about the very future of the office.