Diksha Dutta
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Diksha Dutta

Diksha Dutta is the Editor of Dataconomy, an author and a content strategist. Based in Berlin, she is intrigued by the startup scene in Europe after writing extensively on the Indian ecosystem. After a six-year stint as a full-time business journalist, since 2015, she has been writing independently on startups for international media publications. She is working on a book on the startup ecosystem with Bloomsbury Publishing which brings together fascinating stories of over 50 entrepreneurs across the globe. She has a passion for storytelling and following tech innovations in the startup ecosystem.

Artificial IntelligenceData ScienceFeaturedInterviewsMachine LearningStartups

Here is a look at an AI startup that raised  $44.3 million in venture capital funding and built a product that has a vision to not only scheduling a “time” for meetings but also take care of every little detail that comes along. Find out how intelligent these  AI assistants

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FeaturedInternet of ThingsStartupsStartupsTech TrendsTransportation & Logistics

How will micromobility change the way we travel from point “A” to “B”? How will micromobility co-exist with the traditional models of transportation? What is the importance of network effects in micro mobility? Kristin Dolgner, a marketing and communications professional at BCG Digital Ventures based in Berlin had an eventful

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Artificial IntelligenceBI & AnalyticsFeaturedMachine Learning

What is the future of AI in Europe and what does it take to build an AI solution that is attractive to investors and customers at the same time? How do we reimagine the battle of “AI vs Human Creativity” in Europe?  Is there any company that is not using

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Data ScienceFeaturedinfographicsMachine LearningNews

Here is what a recent report says about job opportunities for Data Scientists across Europe including salaries and benefits, job motivations, programming languages used, tech skills and what people want most from their work. Glassdoor names “Data Scientist” as the best job in the United States for 2019 and LinkedIn

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FeaturedinfographicsNewsStartupsStartupsTechnology & IT

Here is what “The State of European Tech 2018”, a data-driven analytical report by Atomico reveals about the factors that are accelerating the growth of tech in the European economy The comparison of Europe’s tech scene with Silicon Valley in the U.S and Asia (particularly China) has been a topic

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FeaturedInternet of ThingsTech TrendsTechnology & ITTransportation & Logistics

Vehicle-to-Cloud – yes, it is a thing!  And it is making automotive insurance providers and telecoms thrive together to support telematics “Self-driving cars are the natural extension of active safety and obviously something we should do,” this is a popular quote by Elon Musk. But wait, even more popularly discussed

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Artificial IntelligenceBig DataData NativesData ScienceEventsFeaturedTech Trends

How do you merge the perspectives of the data scientists, entrepreneurs, investors, student and CTO’s under one roof when it comes to data-driven decisions? How do you bring together the likes of Google and IBM with academics and universities to find answers to the most relevant questions in the world

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Big DataData NativesData ScienceFeaturedInternet of ThingsMachine Learning

The Ruhr region known to be a steel and coal mine hub in Europe is reimagining the entrepreneurial spirit which was it’s foundation 150 to 200 years ago. This time lies a huge opportunity for data-driven startups to innovate and collaborate with the big traditional corporates that exist in the

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Artificial IntelligenceBig DataData ScienceFeaturedMachine LearningTech Trends

It’s easier to get a job if you are an Artificial Intelligence (AI) or Machine Learning (ML) ‘expert’, and investors want to bet on companies which use the words AI or ML in their mission statements. And why should that not be the case? McKinsey estimates AI techniques have the

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Artificial IntelligenceData ScienceFeaturedMachine LearningTechnology & IT

Here is what a recent whitepaper by Dataiku reveals about Artificial Intelligence and Machine Learning emphasising the role of data scientists. Let’s find out. The year 2018 was supposed to be the one where companies made revolutionary strides in the area of artificial intelligence (AI). But did this happen till

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