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The latest big data news and articles

How Do Low-Code Developers Increase Business Value?

In this special guest feature, Amy Groden-Morrison, VP of Marketing and Sales Operation for Alpha Software, examines the business value low-code developers offer and the challenges low-code development solves. A common misconception about low-code developers is that they’re not skilled enough to develop high-value apps with advanced features. However, prominent research suggests quite the contrary. 

Interview: David Willingham, Principal Product Manager, MathWorks

I recently caught up with David Willingham, Principal Product Manager, MathWorks to discuss the evolution of data-centric AI and how engineers can best navigate – and benefit from – the transition to data-focused models within deep learning environments. As research into data-centric AI continues, we can expect best practice to evolve to suit a growing list of applications. Greater levels of data optimization and collaboration between multi-disciplinary teams is also likely to follow in the near future.

Originality.AI Allows Users to Quickly Detect AI Written Content With a Chrome Extension 

Originality.AI recently launched a tool that allows users to screen for content created by popular AI tools, such as ChatGPT. To increase efficiency for the user, Originality.AI has also launched a Google Chrome Extension to make it faster and easier to check content.

Tredence Launches ATOM.AI, an Integrated Accelerator Ecosystem for Retailers and CPGs at NRF 2023

Tredence, the Data Science and AI Solutions company, announced the launch of ATOM.AI, an intelligently engineered platform that leverages AI to accelerate data and analytics modernization. Tredence announced the launch of ATOM.AI for retailers and consumer goods companies at NRF, the leading retail industry show hosted by the National Retail Federation.

The insideBIGDATA IMPACT 50 List for Q1 2023

The team here at insideBIGDATA 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.

Got It AI Develops AI to Identify and Address ChatGPT Hallucinations for Enterprise Applications

Got It AI, the Autonomous Conversational AI company, announced an innovative new “Truth Checker” AI that can identify when ChatGPT is hallucinating (generating fabricated answers) when answering user questions over a large set of articles or knowledge base. This innovation makes it possible to deploy ChatGPT-like experiences without the risk of providing incorrect responses to users or employees.

How AI-Unified Data Analytics Is Good for Your Business

In this contributed article, April Miller, a senior IT and cybersecurity writer for ReHack Magazine, discusses how data analytics relies on vast amounts of information from different sources to be effective. The same often goes for AI. Unified analytics consolidates these disparate data sources and analytics pipelines into a single platform, using AI to automate that process. The article shows how this consolidation and automation can improve your business.

MLOps is Booming: Three Best Practices for Success

In this special guest feature, Moses Guttmann, CEO and Co-Founder, ClearML, believes that MLOps is here to stay and finding MLOps success depends on more than just grabbing the newest, shiniest solution off the shelf. By keeping these few best practices in mind, businesses can build the foundations they need for sustainable MLOps growth.

DataStax Acquires Machine Learning Company Kaskada to Unlock Real-Time AI

DataStax, the real-time AI company, announced it has acquired Kaskada, a machine learning (ML) company that first solved managing, storing and accessing time-based data to train behavioral ML models and deliver the instant, actionable insights that fuel artificial intelligence (AI). Both DataStax and Kaskada have a track record of contributing to open source communities. Datastax will open source the core Kaskada technology initially, and it plans to offer a new machine learning cloud service later this year.

Hewlett Packard Enterprise Acquires Pachyderm to  Expand AI-at-Scale Capabilities with Reproducible AI  

Hewlett Packard Enterprise (NYSE: HPE) today announced an expansion to its AI-at-scale offerings with the acquisition of Pachyderm, a startup that delivers software, based on open-source technology, to automate reproducible machine learning pipelines that target large-scale AI applications.