O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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O'Reilly Media - Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML.

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O'Reilly Media - Data

OCTOBER 17, 2019

People from across the AI world came together in London for the Artificial Intelligence Conference. Watch “ The quest for high-quality data “ Machine learning challenges at LinkedIn: Spark, TensorFlow, and beyond. Zhe Zhang provides an architectural overview of LinkedIn’s machine learning pipelines.

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The Parallax

JUNE 5, 2019

The mirror, built by the CareOS subsidiary of the French tech company Baracoda , offers personalized recommendations guided by Google’s TensorFlow Lite machine-learning algorithm platform. READ MORE ON MACHINE LEARNING. How Facebook fights fake news with machine learning and human insights.

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O'Reilly Media - Ideas

DECEMBER 20, 2018

The O’Reilly Data Show Podcast: Ben Lorica looks ahead at what we can expect in 2019 in the big data landscape. For the end-of-year holiday episode of the Data Show , I turned the tables on Data Show host Ben Lorica to talk about trends in big data, machine learning, and AI, and what to look for in 2019.

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CTOvision

OCTOBER 15, 2019

Read Horace He’s analysis of AI research papers which shows TensorFlow is the platform of choice in the industry, but most researchers are now using PyTorch on The Gradient : Since deep learning regained prominence in 2012, many machine learning frameworks have clamored to become the new favorite among researchers and industry practitioners.

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TechCrunch

JULY 19, 2022

. “Virtually all enterprise organizations have made significant resource contributions to machine learning to give themselves an advantage — whether that value is in the form of product differentiation, revenue generation, cost savings or efficiencies,” Sestito told TechCrunch in an email interview.

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TechBeacon

JANUARY 29, 2019

To keep pace with digital transformation, IT Ops is changing how it manages its ecosystem, turning to artificial intelligence (AI), analytics, and machine learning. The great shift that has transformed application development has begun remolding IT operations.

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O'Reilly Media - Data

OCTOBER 17, 2019

This is a keynote highlight from the O’Reilly Artificial Intelligence Conference in London 2019. Watch the full version of this keynote on the O’Reilly online learning platform. You can also see other highlights from the event.

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CIO

DECEMBER 28, 2023

Procter & Gamble launched an internal LLM-based chatbot to boost productivity and innovation, calling it chatPG. On top of that, we implemented our AI factory, which is a workbench for our data scientists to develop machine learning systems with speed and quality.” Perhaps the best thing to hope for in 2024 is simplicity.

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CTOvision

FEBRUARY 26, 2019

The story of Artificial Intelligence hype has a considerable business history in 2019. Once an investment in the future, it is now an optimization of machine learning in the present. AI is increasingly being absorbed into just about every business sector.

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CIO

APRIL 25, 2023

ChatGPT was trained with 175 billion parameters; for comparison, GPT-2 was 1.5B (2019), Google’s LaMBDA was 137B (2021), and Google’s BERT was 0.3B (2018). It was 2 years from GPT-2 (February 2019) to GPT-3 (May 2020), 2.5 Learn more about Protiviti’s Artificial Intelligence Services.

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O'Reilly Media - Data

OCTOBER 31, 2019

This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.

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AWS Machine Learning - AI

APRIL 11, 2024

AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI) conference that took place March 2024 in San Jose, California, returning to a hybrid, in-person experience for the first time since 2019.

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TechCrunch

MAY 9, 2023

Investing in artificial intelligence (AI) startups is the latest bandwagon VCs are piling onto. Winfield said the firm will invest in pre-seed AI and machine learning (ML) companies largely based in the Pacific Northwest. Seattle-based Ascend is one of them. Winfield isn’t fully avoiding the hype though.

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TechCrunch

JULY 12, 2022

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. “Typical use cases for Tecton are machine learning applications that benefit from real-time inference.

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O'Reilly Media - Ideas

APRIL 17, 2019

Watch highlights from expert talks covering AI, machine learning, deep learning, ethics, and more. People from across the AI world are coming together in New York for the O'Reilly Artificial Intelligence Conference. Machine learning for personalization. Watch " Machine learning for personalization.".

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O'Reilly Media - Data

OCTOBER 16, 2019

This is a keynote highlight from the O’Reilly Artificial Intelligence Conference in London 2019. Watch the full version of this keynote on the O’Reilly online learning platform. You can also see other highlights from the event.

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Dataiku

FEBRUARY 17, 2020

Our 2019 ended with a bang with the announcement that Dataiku became a unicorn valued at $1.4 On top of all of that excitement, we’re thrilled to kick off the year by being named a Leader in the Gartner 2020 Magic Quadrant for Data Science and Machine-Learning Platforms! billion and gained a new investor (CapitalG).

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CTOvision

DECEMBER 10, 2019

The struggle is real, as they say, when it comes to getting machine learning into production. That was one of the big messages of 2019 as enterprises completed successful machine learning pilots but found it much more difficult to put their efforts into production let alone scale them across the whole organization.

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OTS Solutions

JUNE 3, 2022

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. The intelligence generated via Machine Learning. There are also significant cost savings linked with artificial intelligence in health care. On-Demand Computing.

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CIO

FEBRUARY 6, 2023

The seismic shift toward digital services during the pandemic served as a wakeup call for the insurance industry, which by and large lagged other industries in technology modernization, analysts say. “In So we had to kind of rethink and reimagine our whole model of engaging with policyholders or potential policyholders.”

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CTOvision

JANUARY 29, 2019

Read why Tony Baer says that machine learning will redefine how companies use big data on ZDNet : In the predictions game, it’s time for us to bat clean-up once more. Following Big on Data bro Andrew Brust’s roundup of AI-related predictions from a cross section of industry executives, now it’s our turn.

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TechCrunch

SEPTEMBER 8, 2022

But a particular category of startup stood out: those applying AI and machine learning to solve problems, especially for business-to-business clients. Economic challenges aside, the large addressable market makes sales an attractive problem for startups to tackle. billion in 2019.

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TechCrunch

MAY 10, 2022

“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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Dataiku

MARCH 27, 2020

In its 2019 CIO Agenda: Insurance Industry Insights, Gartner cited increased interest in the industry to move toward data science and machine learning use cases. Now more than ever in today’s landscape, this shift is critical; but the change does not come without challenges.

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Machine Learning Artificial Inteligence Insurance Data 76

TechCrunch

MAY 25, 2022

After emerging from stealth in 2019, Sima.ai began demoing an accelerator chipset that combines “traditional compute IP” from Arm with a custom machine learning accelerator and dedicated vision accelerator, linked via a proprietary interconnect, To lay the groundwork for future growth, Sima.ai “I founded Sima.ai

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TechCrunch

FEBRUARY 22, 2021

In November 2019 it unveiled its artificial intelligence product that lets producers match samples from different genres using machine learning techniques to find the matches. Meanwhile, Splice continues to invest in new technology to make producers’ lives easier.

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AWS Machine Learning - AI

NOVEMBER 27, 2023

Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts of clean, structured training data to reach their full potential.

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Altexsoft

FEBRUARY 5, 2019

The rapid development of artificial intelligence (AI) is forcing the world’s governments to try and keep up with the inherent changes. Here in the US, these developments are what spurred the introduction of the Fundamentally Understanding the Usability and Realistic Evolution (FUTURE) of Artificial Intelligence Act of 2017.

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CIO

MAY 1, 2024

ChatGPT e le hallucination sui casi giudiziari I progressi compiuti nel 2023 dai large language models (LLM) hanno suscitato un interesse diffuso per il potenziale di trasformazione dell’IA generativa in quasi tutti i settori. Artificial Intelligence, Generative AI, Machine Learning

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TechCrunch

JUNE 10, 2021

It’s also keen to invest in startups building intelligence analysis toolsets that make use of technologies such as artificial intelligence and machine learning, as well as intelligence-driven applications that can be integrated into its own Intelligence Platform and ecosystem.

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CIO

DECEMBER 12, 2023

Anthony Battle is leaning heavily on AI and IA — artificial intelligence and intelligent automation — to deliver digital transformation at luxury auto maker Jaguar Land Rover. Battle joined JLR as group chief digital and information officer in February 2022, after a long career managing IT for a succession of oil companies.

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TechCrunch

NOVEMBER 19, 2020

Spacemaker’s VC backers included European firms Atomico and Northzone, which co-led the company’s $25 million Series A round in 2019. The price of the acquisition is $240 million in a mostly all-cash deal. Other investors on the cap table include Nordic real estate innovator NREP, Nordic property developer OBOS, U.K.

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TechCrunch

APRIL 22, 2021

Last year, the San Francisco-based company assessed risk on more than $250 billion in transactions, double from what it did in 2019. Sift uses machine learning and artificial intelligence to automatically surmise whether an attempted transaction or interaction with a business online is authentic or potentially problematic.

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CIO

MAY 6, 2024

Nel 2019 l’azienda ha creato una funzione organizzativa “AI & Automation” (sotto responsabilità dell’IT e con un suo responsabile) e, nel 2020, ha lanciato il suo primo chatbot, di cui, nel 2021, ha realizzato una versione per una compagnia aerea. Artificial Intelligence, CIO, Generative AI

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TechCrunch

DECEMBER 2, 2021

technical talent and its breakthroughs in computer vision and machine learning will enhance Picsart’s own A.I. and machine learning, and are well-known in their local community for their expertise. The round lifted the company to unicorn status, up from its prior valuation of around $600 million in 2019.

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