Remove 2019 Remove Data Engineering Remove Machine Learning
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Tecton raises $100M, proving that the MLOps market is still hot

TechCrunch

Machine learning can provide companies with a competitive advantage by using the data they’re collecting — for example, purchasing patterns — to generate predictions that power revenue-generating products (e.g. At a high level, Tecton automates the process of building features using real-time data sources.

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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

“The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization. “Given these challenges, organizations today need to choose between two flawed approaches when it comes to developing machine learning. .

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Henkel embraces gen AI as enabler and strategic disruptor

CIO

As Henkel CDIO Michael Nilles puts it, by 2019, Marc Andreessen’s pronouncement that “software is eating the world” had come true for the CPG sector, and Henkel was at risk of falling behind. “We We took it seriously and said we need to have software, data, and AI capabilities,” says Nilles, who signed on to the CDIO role at the time.

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RudderStack raises $56M for its customer data platform

TechCrunch

RudderStack , a platform that focuses on helping businesses build their customer data platforms to improve their analytics and marketing efforts, today announced that it has raised a $56 million Series B round led by Insight Partners, with previous investors Kleiner Perkins and S28 Capital also participating.

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Databricks crossed $350M run rate in Q3, up from $200M one year ago

TechCrunch

Namely Databricks , a data analytics company that was most recently valued at around $6.2 billion in its October, 2019 Series F when it raised $400 million. Ghodsi reckons you need three things: First, data engineering, or getting customer data “massaged into the right forms so that you can actually start using it.”

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Five Trends for 2019

Hu's Place - HitachiVantara

Happy New Year and welcome to 2019, a year full of possibilities. Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted.

Trends 86
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AI startup Faculty wins contract to predict future requirements for the UK’s NHS

TechCrunch

Faculty , a VC-backed artificial intelligence startup, has won a tender to work with the NHS to make better predictions about its future requirements for patients, based on data drawn from how it handled the COVID-19 pandemic. In December 2019, Faculty raised a $10.5 Data across the NHS is rather an archipelago.