Why businesses don’t Deploy Machine Learning (And How to Overcome It)

Human machine

Yet many businesses haven’t adopted machine learning (ML) on any scale. AI requires enormous and expensive leaps of knowledge about data, which itself is often an under-governed, poorly-structured Achilles’ heel.

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C3 AI launching a technology licensing office after getting broad AI software Patent

Patent License Agreement

Enterprise AI software platform vendor C3 AI will begin licensing its model-driven architecture and other technologies later this year after receiving a broad, new “omnibus” U.S. patent for its flagship product, the C3 AI Suite.

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Deloitte’s upcoming Center for AI Computing aims to help customers grow AI use

Cable Board

With AI use continuing to grow in adoption throughout enterprise IT, Deloitte is creating a new Deloitte Center for AI Computing to advise its customers, explain the technology and help them use it in their ongoing business and growth plans. Designed to provide a cloud-accessible accelerated platform that Deloitte clients can […]

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10 innovative companies using Artificial Intelligence (AI)

Man holding innovation sign

All major tech giants, including Google, Microsoft, and Apple, are introducing extraordinary Artificial Intelligence (AI) features in their systems. Siri and Alexa personal assistants are examples of AI as a service and becoming the must-to-have devices in the USA homes. Innovated machine breakthroughs like self-driving cars are no more a dream but a reality now. AI has truly revolutionized the world we live today – surrounded by many gadgets, devices, and tech that is influenced by machine learning, deep learning and data science.

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Deepgram raises $25M to expand Enterprise Speech Recognition Platform

Deepgram

Speech recognition technology startup Deepgram has closed a $25million Series B funding round led by Tiger Global with participation from Wing Venture Capital, Citi Ventures, SAP.io, and NVIDIA Inception GPU Ventures. The funding almost doubles the investment raised by Deepgram as it expands the reach and features offered by its enterprise-focused automatic speech transcription and analysis platform.

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How enterprise AI use will grow in 2021: Predictions from our AI experts

Woman in collage

Among IT executives, leaders, experts and supporters in the field of AI, the opinions and insights vary widely. In this AI 2021 predictions roundup for EnterpriseAI readers, we have gathered the thoughts and comments from a sampling of our experts who shared their thoughts with us on the AI marketplace and coming innovations over the next year. Their conversations are intriguing.

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Evaluating the accuracy of AI trends predictions made by Top Enterprise Leaders – then and Now

At the beginning of 2019, enterprise leaders from different top tech companies predicted Artificial Intelligence (AI), data science, and machine learning trends for future years. After two years, we reviewed their AI predictions to find out how accurately they predicted the developments in AI. Our team further studied and analyzed their predictions to give them a ranking.

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Top 5 AI achievements of 2020

Quantum Physics & AI

Indeed, artificial intelligence (AI), machine learning (ML), deep neural learning, and data science have turned out to be life-changing technologies over the last decade. As we are approaching the end of the year, there is no doubt that year 2020 has been a very challenging and dark year due to pandemic crises. Numerous businesses endured disappointments during COVID-19, while it additionally delivered multiple champs rising in the wreck.

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Five biggest failures of AI, why AI projects fail?

Two men with emotions

Artificial intelligence, Enterprise AI, Data Science, Big Data, Robotic Process Automation, Augmented Reality, Digital Transformation, Fintech and many other buzzwords are becoming talk of the town these days aiming to automate, optimize and improve business processes and customer experience. Companies are rapidly shifting towards AI-driven technologies to transform traditional business workflows and achieve business goals. The final results may meet expectation, but there is a huge risk of failure attached to it that is less thought of.

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