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OpenAI and GPT Can Be Used (With Caution) by Tech Businesses!

Smarten

If you are in the business of technology, you may be wondering how, if at all, you can incorporate OpenAI, Generative Pretrained Transformer (GPT) and artificial intelligence (AI) into your services and solutions. Benefits of Using GPT for Software Development GPT can provide a rapid coding environment.

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Tech leaders weigh in on the upside and flipside of generative AI

CIO Business Intelligence

I was at a Gartner conference in the US where they called generative AI out as the ‘third digital revolution’ after mainframe computing and the internet. The impact could really be that profound since we have a tool that can be applied to multiple use cases, from writing and designing products, to visualizations, checking code, and so forth.”

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Strengthening cybersecurity in life sciences with IBM and AWS

IBM Big Data Hub

Cloud is transforming the way life sciences organizations are doing business. Cloud computing offers the potential to redefine and personalize customer relationships, transform and optimize operations, improve governance and transparency, and expand business agility and capability.

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You Don’t Have to Wait for AI, But You Should Plan Carefully!

Smarten

If you are a business owner, technology user or a fan of the news media, it would be difficult to avoid the topic of GPT and artificial intelligence (AI) in today’s news cycle. x, ChatGPT, Google’s Bard chatbot technology, and the AI service, Language Model for Dialogue Applications (LaMDA), among others.

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Common English Entity Linking: Linking Text to Knowledge Fast and Efficient

Ontotext

It has been an important capability for Ontotext ever since we dove into Natural Language Processing (NLP), as it is a crucial aspect of the interplay between text analysis and knowledge graphs. Introducing Ontotext Common English Entity Linking Now comes our next-generation offering – Common English Entity Linking (CEEL).

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10 everyday machine learning use cases

IBM Big Data Hub

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029. Then, it can tailor marketing materials to match those interests.

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Cloudera DataFlow’s key milestones and wins in 2020

Cloudera

The pandemic has ushered in new ways of how we conduct businesses, remote work cultures, telehealth, grocery/food deliveries, etc. While certain industries were hard-hit by this change, most of the businesses were able to adapt, pivot, and take on this adversity in their stride.

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