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Category : Big Data

New State of Generative AI Insiders Report Outlines the Urgency to be Generative AI-Ready in 2024

The State of Generative AI Insiders Report, in conjunction with leaders from Insight Partners, Battery Ventures, Dataiku, Weights & Biases and Glean, was unveiled highlighting market challenges inherent with implementing generative AI in a scalable, profitable way. According to the expert panel, software companies must be Generative AI-ready in the next few years or will face substantial competitive hurdles.

Big DataDec 8, 2023

Tips for Responsible Use of Generative AI in Enterprise

It’s no secret that the promise of generative AI in the enterprise is great, offering unparalleled opportunities to streamline operations by transforming efficiency and productivity. Particularly in the IT and data insights industry, generative AI can drastically reduce the time spent on tasks like research and analysis, among many other benefits.

Big DataDec 8, 2023

Why Enterprises Should Run, Not Walk, to Combine AI & AR

With companies like Apple just beginning to offer their own takes on mixed reality, it’s clearer now than ever that augmented reality tech is here to stay. Still, developing AR software can be a time-consuming process for organizations that aren’t intimately familiar with the workflows and assets required. Business leaders are always looking for an edge to stay ahead of their competition, and they’d do well to consider embracing artificial intelligence when formulating their AR strategies.

Big DataNov 20, 2023

2023 ML Pulse Report: The Latest Trends and Challenges in Machine Learning

Our friends over at Sama recently published a comprehensive report on the potential and challenges of AI as reported by Machine Learning professionals.

Big DataNov 20, 2023

New IDC Survey: 75% Expect to Gain Value from AI Decision Making

Every day, employees and business leaders make hundreds, if not thousands, of decisions with the goal of achieving success. However, the definition of success differs across business units. Success could be achieving competitive supplier terms, optimal product pricing, improved customer satisfaction rates, or reallocation of marketing spend. Every team has specific objectives, but lack of end-to-end visibility and cross-functional communication results in siloed decisions whose outcomes can be at cross purposes, with negative impacts on performance.

Big DataNov 20, 2023
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