Demystifying B2B Purchase Intent Data Report

| April 24, 2019

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Intent data is a game-changing tool that can enable you to increase pipeline quality, close larger deals, and significantly boost win-rates. But not all intent data is created equal, and it’s crucial to look before you leap in order to ensure the highest possible ROI.

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Datalytyx is a leading provider of big data engineering, data analytics and cloud solutions, enabling faster, more effective and more profitable decision-making throughout your enterprise. Datalytyx specialise in deploying data driven solutions, and leading implementations into high performance data environments.

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CAN AI REPLACE ‘GUT FEELING’?

Article | June 2, 2021

Artificial Intelligence is empowering business leaders to make better, data-driven, and insightful decisions. It has undergone several evolutions since it burst into the business scene in the 1950s, to the point where several thinkers have already painted a machine that replaces human scenarios for the future. Our view on the future of work has evolved into a zero-sum game, where the result is an either-or. In my opinion, the view that AI will play a dominant role in the workplace is a little extreme. The fundamental assumption around AI replacing human workers is that humans and machines have the same characteristic. Totally untrue!. AI-based systems may be fast, consistently accurate, and rational, but they are not intuitive, emotional or culturally sensitive. Humans possess these qualities in abundance, and it is one of the reasons why we continue to surprise the world with our advancements. Intuition is the Mother of Innovation If we are living comfortable lives today, it’s because some business leaders chose their gut feeling over data analytics on numerous occasions. Some historical examples have been: 1: Henry Ford, facing falling demand for his cars and high worker turnover in 1914, doubled his employees’ wages, and it paid off. 2: Bill Allen was the CEO of Boeing in the 1950s, a company that manufactured planes for the defence industry. One day, he woke up to the idea of building commercial jets for a sector that was non-existent – civilian air travel. Allen convinced his board to risk $16 million on a new transcontinental airliner, the 707. The move transformed Boeing and air travel. 3: Travis Kalanick faced serious pushback when Uber instituted surge pricing. His move seemed to anger and alienate everyone. Travis stayed the course, and Uber modified its surge policy whenever appropriate. Now, dynamic pricing is an accepted aspect of this business and many others. So the question is, should a competent professional trust their gut feeling or make data-driven decisions? DATA V/S GUT Top professionals have repeatedly confirmed that gut feeling is one of the main reasons for their success. Leadership often gets associated with quick responses in unprecedented situations and lateral thinking. Experienced leaders are not only fearless about their instincts but are also proficient at making others feel confident in their judgment. Also, going with our instinct can help us make decisions quickly and more accurately since we tend to make choices based on experiences, values, and compassion. Malcolm Gladwell calls this ‘thin slicing’ in his book, “Blink”. Thin-slicing is a cognitive manoeuvre that involves taking a narrow slice of data, what you see at a glance, and letting your intuition do the work for you. However, he does warn that some decisions are exempt from this rule; it only applies to areas where you already have significant expertise. Artificial Intelligence and machine learning can support leaders to see complex patterns that can lead to new understanding in this fast-moving, digital era. The contention is that ‘human gut’ feeling can go hand in hand with AI – each supporting the other to achieve balanced outcomes. A Joint Venture Between Head and Heart Many see AI as an aid to human intelligence, not a replacement. To be one-step ahead in the AI era, professionals must learn to balance human and machine thinking. Organizations will have to showcase the ability to use the correct information at the right time and take action. It’s about using your instinct to take advantage of data and transforming that information into timely business decisions. AI is not yet ready to replace the human brain, but it has matured into an effective co-worker. Will intelligent machines replace human workers sometime soon? I guess not. Both have different abilities and strengths. The more important question is: Can human intelligence combine with AI to produce something experts are calling augmented intelligence? Augmented intelligence is collaborative, and at the same time, it represents a collaborative effort in the service of the human race. Figuring out how to blend the right mix with the best of data-driven deliberation and instinctive judgment could be one of the most significant challenges of our time.Enable GingerCannot connect to Ginger Check your internet connection or reload the browserDisable in this text fieldRephraseRephrase current sentenceEdit in Ginger×

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WHAT DOES FACEBOOK’S QUIET AI ACQUISITIONS ACROSS UK SIGNIFY?

Article | February 17, 2020

The social media giant Facebook has always been at the forefront of AI advancement. Amid all the controversies and roadblocks in its strive to attain AI leadership, the company is moving forward with innovation and tech developments. These developments are a major result of its acquisitions; small but significant. Facebook’s M&A activities are proving to be quite beneficial in its AI journey. Recently, the company acquired Scape Technologies which is a London-based computer vision startup working on location accuracy beyond the capabilities of GPS.

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NISI Developing Innovative Medical Technologies with NetApp ONTAP AI

Article | August 7, 2020

The NISI Group (NISI) is a medical technology business headquartered in Hong Kong, specializing in the development, manufacture, and sales of innovative surgical and diagnostic products. Its corporate mission is to become a world leader in noninvasive surgical innovations.NISI first used an NVIDIA DGX-1 as a high-performance computing node to help with its survey of research courses. Because the initial training dataset was not large, the simulation was done entirely on the NVIDIA DGX-1. However, NISI was collecting more labeled medical images for training its new network and sourcing data from several hospitals and clinical centers, and its data volumes were growing exponentially.

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NVIDIA Helps Transportation Industry With AI Technology

Article | March 1, 2020

NVIDIA is helping the transportation industry by giving it access to its deep neural networks (DNNs) for autonomous vehicles. NVIDIA is providing access to its AI (artificial intelligence) model and introducing advanced training tools. This helps the company to strengthen its end-to-end platform for autonomous vehicle development and, eventually, deployment. Automakers and other companies that develop autonomous vehicles (AVs) on the NVIDIA GPU Cloud container registry will get access. NVIDIA DRIVE is pretty much the standard for the development of autonomous vehicles. It is used by automakers, truck manufacturers, and robotaxi companies along with related software companies and universities.

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Datalytyx

Datalytyx is a leading provider of big data engineering, data analytics and cloud solutions, enabling faster, more effective and more profitable decision-making throughout your enterprise. Datalytyx specialise in deploying data driven solutions, and leading implementations into high performance data environments.

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