TechCrunch
AUGUST 25, 2021
Meet Taktile , a new startup that is working on a machine learning platform for financial services companies. This isn’t the first company that wants to leverage machine learning for financial products. They could use that data to train new models and roll out machine learning applications.
TechCrunch
APRIL 7, 2021
One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. It also announced a new tool called Application Studio that provides a way to build common machine learning applications using templates and predefined components.
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TechCrunch
NOVEMBER 16, 2021
Machine learning is exploding, and so are the number of models out there for developers to choose from. million seed round from Unshackled Ventures, Kepler Ventures, On Deck, Basecamp Fund, Abstraction Capital, Unpopular Ventures, Darling Ventures and a number of industry angels. Today, the early-stage startup announced a $1.64
TechCrunch
JANUARY 3, 2024
Satellite imagery and machine learning offer a new, far more detailed look at the maritime industry, specifically the number and activities of fishing and transport ships at sea. Turns out there are way more of them than publicly available data would suggest, a fact that policymakers should heed.
Advertiser: Data Robot
Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations.
TechCrunch
NOVEMBER 14, 2021
In that Economist report, I spoke about society entering an “Industrial Revolution of Data,” which kicked off with the excitement around Big Data and continues into our current era of data-driven AI. What we saw over the horizon was an even bigger wave of machine-generated data. Yet, full automation evades the industry.
TechCrunch
JANUARY 4, 2023
Profet AI , a Taiwanese startup that makes auto machine learning software for manufacturers, announced today it has raised $5.6 Profet AI’s software lets users build prediction models and industrial AI apps for production and digitalization, even if they only have basic knowledge of machine learning.
Advertiser: Data Robot
Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations.
Advertiser: Data Robot
As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. Download the report to find out: How enterprises in various industries are using MLOps capabilities.
Advertiser: Data Robot
The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.
Advertiser: Data Robot
More and more critical decisions are automated through machine learning models, determining the future of a business or making life-altering decisions for real people. These failures can also significantly erode human trust in AI, rendering it ineffective for real-world applications in many industries. AI is becoming ubiquitous.
Advertiser: Data Robot
While everyone is talking about machine learning and artificial intelligence (AI), how are organizations actually using this technology to derive business value? Renowned author and professor Tom Davenport conducted an in-depth study (sponsored by DataRobot) on how organizations have become AI-driven using automated machine learning.
Speaker: Rob De Feo, Startup Advocate at Amazon Web Services
Machine learning techniques are being applied to every industry, leveraging an increasing amount of data and ever faster compute. But that doesn’t mean machine learning techniques are a perfect fit for every situation (yet). In what new directions machine learning’s most advanced practitioners are taking it now.
Speaker: Paul Weald, Contact Center Innovator
Learn how to streamline productivity and efficiency across your organization with machine learning and artificial intelligence! How you can leverage innovations in technology and machine learning to improve your customer experience and bottom line. November 10th, 2022 at 11:00 am PST, 2:00 pm EST, 7:00 pm GMT
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