Enhancing Business Innovation and Operational Efficiency Through Historical Data

In this contributed article, Adrian Kunzle, Chief Technology Officer at Own Company, discusses strategies around using historical data to understand their businesses better and fill gaps are often overlooked. When organizations maximize historical data, they can improve AI-driven decisions, reduce the overhead of data warehouses and ETL processes, while simultaneously driving portability and automation.

Bain AI Survey Results Show Enthusiasm for GenAI but is Vision AI the Next Boom?

Bain & Company released their AI Survey results illustrating that businesses are investing heavily in generative AI, with 87% of surveyed companies working with gen AI in some capacity. Business leaders are eager to see results, however, the real value comes from how AI changes what businesses can do.

The Rise of Streaming Data and Its Cost Efficiency – How Did We Get Here?

In this contributed article, Sijie Guo, Founder and CEO of Streamnative, believes that with remote work entrenched in the post-pandemic enterprise, organizations are restructuring their technology stack and software strategy for a new, distributed workforce. Real-time data streaming has emerged as a necessary and cost efficient way for enterprises to scale in an agile way. There are two sides to this coin with dual cost advantages – architectural and operational.

Advocating Collaboration in Safe AI Management

In this contributed article, Rosanne Kincaid-Smith, Group COO at Northern Data, delves into the ethical considerations of ensuring AI safety and emphasizes the need for a collective approach to AI management – involving a mixture of technical and societal bodies who understand its far-reaching impact. The piece sheds light on the growing concerns surrounding the emergence of next-generation AI technologies and underscores the new collaborative efforts of the US and UK in addressing safety concerns linked to the integration of AI into business operations.

The insideAI News IMPACT 50 List for Q3 2024

The team here at insideAI News is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.

Unlocking the True Power of AI by Turning Conventional ML Wisdom On Its Head

In this contributed article, Iain Wallace, Director of Machine Learning and Tracking Research at Ultraleap, discusses how rethinking your approach to machine learning can drive true AI innovation.

New AI Data: 88% of SMBs Use AI and 40% Concerned about Security

Our friends over at Pax8, a leading cloud commerce marketplace, released a new global report in collaboration with Microsoft and Channelnomics on the AI buying trends of Small and Midsize Businesses (SMBs).  

New Global Survey Finds Enterprises Lack Direction and Training for Workers on the Use of GenAI Tools   

UiPath (NYSE: PATH), a leading enterprise automation and AI software company, published its annual Global Knowledge Worker Survey that uncovers how employees are using generative AI (GenAI), the shortcomings and risks of the technology, and the opportunity for combining GenAI with business automation. 

Personalizing Employee Experiences with Product Analytics

In this contributed article, Vara Kumar, co-founder and head of R&D and pre-sales at Whatfix, discusses how in today’s competitive landscape, harnessing the full potential of product analytics is pivotal for companies seeking to optimize their internal and external product usage. There are multifaceted benefits of leveraging product analytics,
showcasing its ability to provide profound insights into product utilization across an organization.

From ER Diagrams to AI-Driven Solutions

In this contributed article, Ovais Naseem from Astera, takes a look at how the journey of data modeling tools from basic ER diagrams to sophisticated AI-driven solutions showcases the continuous evolution of technology to meet the growing demands of data management. Understanding how data modeling tools have changed over time gives us important insights into why organizing and analyzing data well is so important.