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A history of tech adaptation for today’s changing business needs

CIO

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. The best weapon to make decisions in a dynamic world is accurate and relevant information so organizations can carry out strategic plans in the most reliable way.

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The AI cat and mouse game has begun

CIO

If you are a CIO or CISO and haven’t yet read this article – Finance worker pays out $25 million after video call with deepfake ‘chief financial officer,’ you should and then share it with your entire company. It’s impossible for the help desk to validate every one of these employees, even with the aid of visual verification.

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How we built an AI unicorn in 6 years

TechCrunch

Alex Dalyac is the CEO and co-founder of Tractable , which develops artificial intelligence for accident and disaster recovery. In 2013, I was fortunate to get into artificial intelligence (more specifically, deep learning) six months before it blew up internationally. Alex Dalyac. Contributor. Share on Twitter.

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Top 10 Highest Paying IT Jobs in India

The Crazy Programmer

Data Scientist. Data scientist is the most demanding profession in the IT industry. Currently, the demand for data scientists has increased 344% compared to 2013. hence, if you want to interpret and analyze big data using a fundamental understanding of machine learning and data structure. Image Source.

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Accelerating generative AI requires the right storage

CIO

Generative AI “fuel” and the right “fuel tank” Enterprises are in their own race, hastening to embrace generative AI ( another CIO.com article talks more about this). In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. Formula 1 (F1) drivers are some of the most elite athletes in the world.

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What is the Role of AI in the Manufacturing Industry?

OTS Solutions

This article aims to provide the role of AI in the manufacturing industry, highlighting the key areas where AI is making a substantial impact and discussing the challenges and prospects associated with its implementation. This can significantly improve overall productivity and ensure the timely delivery of products.

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The industrial data revolution: What founders got wrong

TechCrunch

In February 2010, The Economist published a report called “ Data, data everywhere.” Little did we know then just how simple the data landscape actually was. That is, comparatively speaking, when you consider the data realities we’re facing as we look to 2022. And, we’ve also seen big advances in artificial intelligence.

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