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Interview with Mayank Mehta of Pulse
My series of discussions with innovators who are building data-driven businesses continues in this interview with Mayank Mehta of Pulse. Pulse was founded in 2017 by Mayank Mehta and Anand Thaker in San Francisco. After going through the Y Combinator program in 2018 and generating substantial VC investments, the company has seen rapid growth. Their…
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Interview with Gus Tugendhat of Tussell
I recently sat down with Gus Tugendhat, founder of UK-based government tenders and contracts data provider, Tussell. Gus told me about the origins of Tussell, the market it…
8 factors shaping the future of big data, machine learning and AI
AI and machine learning combined with ever-increasing amounts of data are changing our commercial and social landscapes. A number of themes and issues are emerging within these sectors…
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Data Poisoning: a Ticking Time Bomb
Data Poisoning as an Attack Vector As artificial intelligence (AI) and its associated activities of machine learning (ML) and deep learning (DL) become embedded in the economic and social fabric of developed economies, maintaining the security of these systems and the data they use is paramount. The global cyber security market was estimated by IDC…
How smart products are changing the traditional sales cycle
Smart and connected products are changing the traditional sales funnel and customer lifecycle and presenting new challenges and opportunities for CIOs
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23 Tips for Pitching to Investors
Getting in front of the right investor to pitch your business plan is difficult enough. Securing funding from the meeting is even harder. Top VC firm, Andreesen Horowitz (A16Z) estimates it sees about 2,000 pitches a year and invests in between 20 and 40 of them. This means, on average, you’ve got to have a…
Best Practices for Building a Data-Driven Business Model
The phrase, “Data is the New Oil” is widely used but how are companies actually using data to create new and innovative business models? This post explores some of the ways data is being commercially exploited and explains what companies should do which are considering developing data-driven business models. Google and Facebook have shown…
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