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Platform engineering is considered a practice built up on DevOps guides that assist in improving each development team’s compliance, costs, security, and business processes, eventually helping to improve developer experiences and self-service within a secure, governed framework. Lately, there has been quite a buzz about the permanent implementation of platform engineering in the IT industry. According to a recent report by Gartner, it is estimated that more than 80% of engineering organizations will have a crew dedicated to platform engineering by 2026, where these teams will focus on buildin

Marketing organizations are increasingly adopting artificial intelligence to help analyze data, uncover insights, and deliver efficiency gains, all in the pursuit of optimizing their campaigns. The era of AI augmentation to assist marketing professionals will continue to gain momentum for at least the next decade. As AI becomes more pervasive, this shift will inevitably reshape the makeup and focus for marketing teams everywhere.Humans will retain control of the marketing strategy and vision, but the operational role of machines will increase each year.

As the business world revolves around globalization and faster results, top executives, data analysts, and even marketing managers look forward to real-time analytics. It enables them to harness the power of streaming data in their business and gain a vast amount of valuable information that can inspire the growth of the business. A manufacturing giant takes global production to the next level by leveraging real-time analytics to predict equipment breakdowns before they happen, boosting productivity across all departments.

Bernard Marr is a world-renowned futurist, influencer and thought leader in the fields of business and technology, with a passion for using technology for the good of humanity. He is a multi-award-winning and internationally best-selling author of over 20 books, writes a regular column for Forbes and advises and works with many of the world’s best-known organisations. He has a combined following of 4 million people across his social media channels and newsletters and was ranked by LinkedIn as one of the top 5 business influencers in the world.

Programming is the backbone of modern software development, as this aids in driving creation when creating innovative applications and systems that eventually power the digital world. However, the coding process can be complicated and challenging, but thankfully, with the development of modern software, software developers (DEV) can easily navigate intricate syntax, troubleshoot errors, and manage large codebases. Therefore, with the introduction of AI, coding assistants have emerged as valuable partners that can change the programming game forever and enhance the coding experience for DEV.

Dr Leslie Kanthan is CEO and co-founder of TurinTech, a leading AI Optimisation company that empowers businesses to build efficient and scalable AI by automating the whole data science lifecycle. Before TurinTech, Leslie worked for financial institutions and was frustrated by the manual machine learning developing process and manual code optimising process. He and the team therefore built an end-to-end optimisation platform – EvoML – for building and scaling AI.

In the context of the increasing prominence of decisions based on big data, companies are perpetually looking for the best approaches to effectively utilize their data resources truly. Introduce the idea of Unified Data Fabric (UDF), a new and exciting proposition that provides a unified view of data and the surrounding ecosystem. In this blog, we will uncover what UDF is, its advantages and thinking why it is set out to transform the way companies work with data. A Unified Data Fabric or Datalayer can be described as a highest form of data topology where different types of data are consolida

IT companies and consulting firms are on a relentless quest to stay innovative in a rapidly evolving digital world. Industries worldwide are embracing the digital landscape, using AI to help transform their operations and adapt to new challenges. Digital transformation integrates digital technologies into all operational areas, streamlining processes, enhancing customer interactions, fostering a forward-thinking work culture, and improving overall strategic planning. By embracing digital transformation, companies have the potential to save money while maximizing efficiency.

In the digital world, the serverless framework is one of the most innovative technologies that allows software developers (SDEs) to build and deploy applications without the requirement to address the underlying server infrastructure. Numerous organizations are gradually switching to serverless computing frameworks as they help them achieve faster, simpler software development and eliminate traditional monolithic software models. However, implementing serverless computing SDEs requires frameworks that will help them to focus solely on writing code to implement their application’s logic.

The rapid advancement of AI has revolutionized industries worldwide, transforming the way businesses operate. While some organizations are still catching up, AI is undeniably a game-changer, reshaping industries and redefining enterprise operations. Estimates from Goldman Sachs suggest that AI has the potential to increase global GDP by approximately 7% (almost $7 trillion) over the next decade by enhancing labor productivity. Even with conservative predictions, AI is poised to drive significant progress in the global economy.

The growing importance of agility and operational efficiency has helped introduce serverless solutions as a revolutionary concept in today’s data processing field. This is not just a revolution, but an evolution that is changing the whole face of infrastructure development and its scale and cost factors on an organizational level. Overall, For companies that are trying to deal with the issues of big data, the serverless model represents an enhanced approach in terms of the modern requirements to the speed, flexibility, and leveraging of the latest trends.

Robert Scott is Chief Innovator at Monjur. He provides a cloud-enabled, AI-powered legal services platform allowing law firms to offer long-term recurring revenue services and unlock the potential of their legal templates and other firm IP. redefines legal services in managed services and cloud law. Recognized as Technology Lawyer of the Year, he has led strategic IT matters for major corporations, in cloud transactions, data privacy, and cybersecurity. He has an AV Rating from Martindale Hubbell, is licensed in Texas, and actively contributes through the MSP Zone podcast and industry confe

As cyberattacks advance in their sophistication and frequency, traditional cybersecurity defenders-the firewalls, antivirus software, even intrusion detection systems-are no longer sufficient in protecting companies. Organizations are bound to face advanced persistent threats (APTs), ransomware, as well as insider attacks in 2024 that often go undetected by automated detection tools. This makes proactive cybersecurity a dire necessity. According to new research findings, the average amount of time taken before it is possible to detect a breach stands at more than 200 days, which is a very lon

Andreas Cleve is Corti’s co-founder and CEO. After spending nearly a decade working as a multi-entrepreneur in AI, Andreas founded Corti with Lars Maaløe, pioneering a safe and effective Generative AI platform for healthcare. Corti’s AI not only takes notes but also quality assures, journals, codes, nudges, prompts, and documents every patient interaction. With significant research findings in speech processing, dialectic challenges, medical coding, and language understanding, Corti’s artificial intelligence enhances real-time consultations across the entire patient journey across the United

As the world navigates through 2024, cybersecurity gets more unpredictable and dangerous. With increased sophisticated cyberattacks like ransomware, phishing, and APTs, there has never been a higher demand for cybersecurity professionals. But after the rising tide, the industry stands at a significant skills gap, presenting organizations with vulnerabilities to breaches and data theft. Following a report by ISC², there is a lack of more than 3.4 million cybersecurity workers across the world. The gap becomes an important threat to diverse organizations, majorly finance, healthcare, and techno

Yashin Manraj, CEO of Pvotal Technologies, has served as a computational chemist in academia, an engineer working on novel challenges at the nanoscale, and a thought leader building more secure systems at the world’s best engineering firms. His deep technical knowledge from product development, design, business insights, and coding provides a unique nexus to identify and solve gaps in the product pipeline. The Pvotal mission is to build sophisticated enterprises with no limits for rapid change, seamless communication, top-notch security, and scalability to infinity.

Dev Nag is the Founder and CEO of QueryPal. He was previously the Founder and CTO at Wavefront, which was backed by Sequoia Capital and acquired by VMware. At VMware, he served in the Office of the CTO and launched VMware’s flagship AIOps product. He previously held engineering leadership roles at Google, eBay, and PayPal. Dev holds more than a dozen patents in machine learning and security. He published academic papers in computational biology and medical informatics at Stanford, where he received two degrees.

Artificial intelligence (AI) is a relatively new field that has rapidly evolved into a major influence on the strategic direction of organizations. Its significance extends far beyond automation, enhancing complex decision-making processes. AI is both a risk and a tool for managing risk—a paradox that organizations must confront as they navigate the landscape of 2024 and beyond. While AI is often associated with task automation, it also plays a critical role in improving decision-making. AI empowers change across various domains, from social to informational, by automating time-consuming proc

The advent of AI-powered adaptive commerce is transforming B2B e-commerce for enterprises across various sectors. Beyond merely enhancing customer insights or product recommendations, AI is now driving a new approach that blends physical and digital realms—often referred to as “phygital.” By integrating AI into physical environments, B2B e-commerce firms are crafting seamless and engaging shopping experiences that bridge online and offline spaces. Here’s how AI-driven physical technology is disrupting B2B e-commerce, along with tips based on our experience.

Frederik Steensgaard is the Chief Executive Officer and Co-Founder of BeCause, a startup enterprise software company that enables sustainability data to flow simpler, faster, and cheaper for travel companies. The company’s AI-powered sustainability hub allows companies to collect and communicate their sustainability efforts in one place, empowering them to make sustainability a regular part of their operations and a competitive advantage for their business. Frederik is also an elected member of the Climate Committee at the Confederation of Danish Industry, where he contributes to discussions