Pinecone Systems Inc., a search infrastructure company, announced the release of new features and enhancements that make it significantly easier for developers — regardless of AI or ML experience and background – to get started with vector search for applications …
Pinecone Announces New Features to Lower the Barrier of Entry for Vector Search Read more »
In this special guest feature, Zach Thomas, VP of Product Marketing, Conga, discusses the ways emerging technologies like AI and ML can expedite business operations to accelerate revenue. Outlined are the top benefits organizations can experience by integrating AI and …
The Benefits of Integrating AI and ML to Maximize Operational Efficiency Read more »
Cloudera, the hybrid data company, announced the launch of Cloudera Data Platform (CDP) One, an all-in-one data lakehouse software as a service (SaaS) offering that enables fast and easy self-service analytics and exploratory data science on any type of data. …
Cloudera Launches All-in-One Data Lakehouse Cloud Service Read more »
In this contributed article, Radikha Krishna, Chief Product Officer, Hitachi Vantara, explains how the modern enterprise doesn’t need more data. It needs better data – and more intelligent data management. The challenges are not trivial. But as you review your …
The Secret to Aligning Business & Data Strategies Read more »
As the US Open’s official technology partner, IBM Consulting works with the United States Tennis Association (USTA) to turn tennis data into engaging fan insights through AI and automation. Artificial intelligence (AI) increasingly influences people’s understanding of data, whether we are …
In this contributed article, David Sweenor, Senior Director of Product Marketing at Alteryx, explains what it takes to create a data-driven culture in the office. Taking small, incremental steps to developing a data-centric work culture is the way to go …
The Biggest Challenges When Adopting Data and AI Technologies Read more »
Sometimes as data scientists, we are often so determined to build a perfect model that we can unintentionally include human bias into our models. Often the bias creeps in through training data and then is amplified and embedded in the …
3 new steps in the data mining process to ensure trustworthy AI Read more »
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights …
Our friend, Ori Rafael, CEO of Upsolver and advocate for engineers everywhere, released his new book “Unlock Complex and Streaming Data with Declarative Data Pipelines.” Ori discusses why declarative pipelines are necessary for data-driven businesses and how they help with engineering …
eBook: Unlock Complex and Streaming Data with Declarative Data Pipelines Read more »
In this special guest feature, Tobi Knaup, CEO of D2iQ, explores how AI will make the world a better place. AI is a general-purpose tool that will be built into almost every product and service we use, accelerates innovation and …