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Sesamm bags $37M to give corporates ESG insights using natural language processing

TechCrunch

Sesamm , a French startup that helps financial firms and corporates adhere to their ESG goals by using natural language processing (NLP) to generate insights from digital content, has raised €35 million ($37 million) in a round of funding to expand internationally. billion company. and Asian markets.

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Natural Language Processing: A Guide to NLP Use Cases, Approaches, and Tools

Altexsoft

Alan Turing considered computers’ ability to generate natural speech a proof of their ability to think. Internet search engines are wonderfully helpful when auto-filling our queries, language translation has never been more seamless and correct, and advanced grammar checks save our reputation when we’re sending emails. Spam detection.

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10 most in-demand generative AI skills

CIO

Natural language processing (NLP) Natural language processing (NLP) technology helps computers better understand human language to improve chatbots, AI assistants, automation, and other tasks.

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The impact of AI on edge computing

CIO

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. The rise of edge computing Edge computing has emerged as a strategic paradigm shift in the world of data processing.

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5 Ways to Create an Emotionally Empathetic Experience Through Natural Language Processing

Coforge

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11 most in-demand gen AI jobs companies are hiring for

CIO

Businesses are turning to gen AI to streamline business processes, develop proprietary AI technology, and reduce manual efforts in order to free up employees to take on more intensive tasks. The role of algorithm engineer requires knowledge of programming languages, testing and debugging, documentation, and of course algorithm design.

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SAP to infuse IBM’s Watson AI engine into its entire portfolio

CIO

The move, which is expected to help SAP exploit the natural language processing (NLP) abilities of Watson AI along with predictive insights, is aimed at boosting the productivity of an enterprise and accelerating innovation, especially across retail, manufacturing, and utilities sectors, the companies said in a joint statement.