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AI

The AI Boom Will Drive up Data Center Costs and the Need for Control

Data centers are the backbone of the digital economy, hosting the servers, networks, and software that power the internet and cloud services. Data centers consume a lot of electricity, accounting for about 1% of the global energy demand in 2019. As AI becomes more widespread and complex, data centers will need to upgrade their hardware and infrastructure to meet the growing demand for AI processing. This will increase the cost of operating data centers in several ways.

Celebrating Artificial Intelligence Day: The role of AIOps in today's IT environments

In the ever-changing world of IT and digitalization, we’ve all probably pondered the same thought at least once: “Can AI ever replace me?” An example is the Tom and Jerry cartoon episode with the robot cat meant to replace Tom. Another is the video game Detroit: Become Human that navigates a world where self-aware androids surpass humans in intelligence. Fiction aside, we’re already seeing AI’s true capabilities with tools like Chat GPT and Bard.

What does the future of AI hold in store?

On 16 July the world celebrates International Artificial Appreciation Day. In the previous century, science fiction often covered topics and inventions that are now closer to science fact, such as humanoid robots. In the 50s, artificial intelligence met both great successes, including algorithm development, and big failures, caused by compute power constraints.

Large language models (LLMs): what, why, how?

Large language models (LLMs) are machine-learning models specialised in understanding natural language. They became famous once ChatGPT was widely adopted around the world, but they have applications beyond chatbots. LLMs are suitable to generate translations or content summaries. This blog will explain large language models (LLMs), including their benefits, challenges, famous projects and what the future holds.

The Unplanned Show, Episode 4: Sriram Subramanian on Responsible Generative AI

Generative AI is a rapidly-evolving ecosystem with a lot of attention. In this episode, Dormain Drewitz asks Sriram Subramanian about the main challenges to responsibly implement generative AI, including content that’s harmful, inaccurate or violates privacy or security standards. Sriram discusses Microsoft’s 6 tenets to responsible generative AI, as well as the notion of shared responsibility between platform providers and foundational LLMs and the developers and data engineers building on top. Sriram also answers questions about where to get started safely with generative AI and shares his framework for identifying opportunities to add value.

The Best AI Chatbots in 2023

In today’s rapidly evolving technological landscape, artificial intelligence (AI) has become a driving force behind transformative advancements. One area where AI has made significant strides is in the realm of chatbots. These intelligent virtual agents are revolutionizing the way businesses interact with their customers, providing seamless and personalized conversational experiences across various messaging channels.

Unleash the true power of AIOps with BigPanda New Generative AI

IT response teams find themselves battling against an overwhelming onslaught of incidents. Frustratingly long response times, challenges with prioritization, and the relentless pursuit of root cause are formidable adversaries that test even the most skilled teams. I remember customers’ electrifying anticipation with AI and automation a decade ago. They hoped AI could be used to instantly decode the business impact of incidents and automation to respond to incidents without human intervention.

AI: How to Avoid Any Pitfalls in Applying It to Your Business

Artificial Intelligence (AI) can analyse large datasets, automate mundane tasks, and improve business decision-making processes. AI-powered demand forecasting and planning can be used to streamline the buying process, manage in-season markdowns more effectively, and provide accurate demand forecasts - all of which ultimately translate into stronger margins.