TechCrunch

MAY 30, 2022

Strong Compute , a Sydney, Australia-based startup that helps developers remove the bottlenecks in their machine learning training pipelines, today announced that it has raised a $7.8 ” Strong Compute wants to speed up your ML model training. .” ” Strong Compute wants to speed up your ML model training.

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Cloudera

JANUARY 9, 2025

Thats why were moving from Cloudera Machine Learning to Cloudera AI. Why AI Matters More Than ML Machine learning (ML) is a crucial piece of the puzzle, but its just one piece. Renaming our platform Cloudera AI acknowledges that our customers arent just training modelstheyre embedding intelligence across their business.

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CIO

OCTOBER 24, 2024

While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses. From prompt injections to poisoning training data, these critical vulnerabilities are ripe for exploitation, potentially leading to increased security risks for businesses deploying GenAI.

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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. Del Balso says it’ll be used to scale Tecton’s engineering and go-to-market teams. “We

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CIO

MARCH 13, 2025

To help address the problem, he says, companies are doing a lot of outsourcing, depending on vendors and their client engagement engineers, or sending their own people to training programs. In the Randstad survey, for example, 35% of people have been offered AI training up from just 13% in last years survey.

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CIO

NOVEMBER 1, 2024

No matter what market you operate in, AI is critical to keeping your business competitive. With those tools involved, users can build new AI models on relatively low-powered machines, saving heavy-duty units for the compute-intensive process of model training. And for additional information click here.

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CIO

JANUARY 14, 2025

The gap between emerging technological capabilities and workforce skills is widening, and traditional approaches such as hiring specialized professionals or offering occasional training are no longer sufficient as they often lack the scalability and adaptability needed for long-term success.

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Xebia

FEBRUARY 28, 2025

Both the tech and the skills are there: Machine Learning technology is by now easy to use and widely available. Data Science profiles are more abundant in the market than ever before. So then let me re-iterate: why, still, are teams having troubles launching Machine Learning models into production?

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TechCrunch

DECEMBER 15, 2021

The Israel-based company announced today it has closed $30 million in a Series B round to help protect trains and metros. Cylus enables maximum interoperability (train-track coupling) while protecting stationary and moving systems in trains, Levintal continued. The latest capital brings its total funding to over $57 million.

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TechCrunch

NOVEMBER 28, 2022

It’s only as good as the models and data used to train it, so there is a need for sourcing and ingesting ever-larger data troves. But annotating and manipulating that training data takes a lot of time and money, slowing down the work or overall effectiveness, and maybe both. V7 even lays out how the two services compare.)

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TechCrunch

JANUARY 5, 2022

However, today’s startups need to reconsider the MVP model as artificial intelligence (AI) and machine learning (ML) become ubiquitous in tech products and the market grows increasingly conscious of the ethical implications of AI augmenting or replacing humans in the decision-making process.

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CIO

OCTOBER 24, 2024

We have companies trying to build out the data centers that will run gen AI and trying to train AI,” he says. Even though many device makers are pushing hard for customers to buy AI-enabled products, the market hasn’t yet developed, he adds. Next year, that spending is not going away. CEO and president there.

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CIO

JANUARY 6, 2025

Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space. I am excited about the potential of generative AI, particularly in the security space, she says.

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TechCrunch

NOVEMBER 18, 2021

Ashish Kakran , principal at Thomvest Ventures , is a product manager/engineer turned investor who enjoys supporting founders with a balance of technical know-how, customer insights, empathy with challenges and market knowledge. In the early 2000s, most business-critical software was hosted on privately run data centers.

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TechCrunch

JANUARY 12, 2023

Because they’re relatively affordable and can be programmed for a range of use cases, they’ve caught on particularly in the AI and machine learning space where they’ve been used to accelerate the training of AI systems. ” Rapid Silicon is developing two products at present: Raptor and Gemini. .

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TechCrunch

JANUARY 2, 2022

Most artificial intelligence models are trained through supervised learning, meaning that humans must label raw data. Data labeling is a critical part of automating artificial intelligence and machine learning model, but at the same time, it can be time-consuming and tedious work. ScreenShot | AIMMO website.

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CIO

MARCH 20, 2025

This turnaround is not surprising, with Goldman Sachs Research , for example, predicting that the humanoid robot market could reach $38 billion by 2035 a six-fold increase over earlier estimates. Cosmos enables AI models to simulate environments and generate real-world scenarios, accelerating training for humanoid robots.

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TechCrunch

JANUARY 28, 2021

The Berlin-based startup wants to bring AI-powered workflow automation to anyone, letting knowldge workers automate tedious, repetitive and manual parts of their job without the need to learn how to code. Suitable for customer service, marketing, operations, HR, and more, Levity has elected to be a horizontal offering from the get-go.

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CIO

JANUARY 13, 2025

Become reinvention-ready CIOs must invest in becoming reinvention-ready, allowing their enterprise to adopt and adapt to rapid technological and market changes, says Andy Tay, global lead of Accenture Cloud First. The pace of change in the global market and technology landscape demands organizations that can adapt quickly.

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TechCrunch

JULY 19, 2022

According to Gartner, 30% of all AI cyberattacks in 2022 will leverage these techniques along with data poisoning, which involves injecting bad data into the dataset used to train models to attack AI systems. In fact, at HiddenLayer, we believe we’re not far off from seeing machine learning models ransomed back to their organizations.”

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TechCrunch

JULY 7, 2021

In order to fail fast, AI initiatives should be managed as a conversion funnel analogous to marketing and sales funnels. They have a lot more unknowns: availability of right datasets, model training to meet required accuracy threshold, fairness and robustness of recommendations in production, and many more. This is not always true.

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TechCrunch

JUNE 7, 2022

A 2020 IDC survey found that a shortage of data to train AI and low-quality data remain major barriers to implementing it, along with data security, governance, performance and latency issues. “The main challenge in building or adopting infrastructure for machine learning is that the field moves incredibly quickly.

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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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TechCrunch

SEPTEMBER 28, 2022

Virtual Reality (VR) has struggled to transition too far beyond gaming circles and specific industry use-cases such as medical training , but with the burgeoning metaverse movement championed by tech heavyweights such as Meta , there has been a renewed hope (and hype) around the promise that virtual worlds bring. ” Training day.

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TechCrunch

JULY 20, 2021

In 2013, I was fortunate to get into artificial intelligence (more specifically, deep learning) six months before it blew up internationally. It started when I took a course on Coursera called “Machine learning with neural networks” by Geoffrey Hinton. Find potential customers early so you can work out market fit.

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CIO

NOVEMBER 11, 2024

Kakkar and his IT teams are enlisting automation, machine learning, and AI to facilitate the transformation, which will require significant innovation, especially at the edge. Instead, Kakkar has created pillars each project must fall into: customer service, predictive maintenance, supply chain digitization, and personalized marketing.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. The TAT-QA dataset has been divided into train (28,832 rows), dev (3,632 rows), and test (3,572 rows).

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TechCrunch

NOVEMBER 1, 2022

million and will be put toward growing Galileo’s engineering and go-to-market teams and expanding the core platform to support new data modalities, CEO Vikram Chatterji told TechCrunch via email. By one estimation , the market for MLOps could reach $4 billion by 2025. The new cash brings the company’s total raised to $23.1

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TechCrunch

NOVEMBER 4, 2021

WhyLabs , a machine learning startup that was spun out of the Allen Institute last year, helps data teams monitor the health of their AI models and the data pipelines that fuel them. Today, the post-deployment maintenance of machine learning models, I think, is a bigger challenge than the actual building and deployment of models.

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CIO

DECEMBER 4, 2024

We’ve all heard about how difficult the job market is on the applicant side, with candidates getting very little response from prospective employers. We’ve had folks working with machine learning and AI algorithms for decades,” says Sam Gobrail, the company’s senior director for product and technology.

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CIO

OCTOBER 14, 2024

He adds, “This mindset stifles creativity, limits growth, and can prevent the organization from keeping pace with changing market dynamics.” Some CIOs are reluctant to invest in emerging technologies such as AI or machine learning, viewing them as experimental rather than tools for gaining competitive advantage.

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TechCrunch

MAY 17, 2023

At the core of Union is Flyte , an open source tool for building production-grade workflow automation platforms with a focus on data, machine learning and analytics stacks. But there was always friction between the software engineers and machine learning specialists. ” Image Credits: Union.ai

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TechCrunch

AUGUST 13, 2021

Shrivastava, who has a mathematics background, was always interested in artificial intelligence and machine learning, especially rethinking how AI could be developed in a more efficient manner. It was when he was at Rice University that he looked into how to make that work for deep learning.

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AWS Machine Learning - AI

MARCH 26, 2025

Its improved architecture, based on the Multimodal Diffusion Transformer (MMDiT), combines multiple pre-trained text encoders for enhanced text understanding and uses QK-normalization to improve training stability. Shes passionate about machine learning technologies and environmental sustainability.

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TechCrunch

DECEMBER 6, 2022

AI that generates images, text and more), is supercharging the AI inferencing chip market. text, images, audio) based on what they learned while “training” on a specific set of data. NeuReality lands $35M to bring AI accelerator chips to market by Kyle Wiggers originally published on TechCrunch.

Marketing 239

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TechCrunch

OCTOBER 26, 2022

LatticeFlow , a startup that was spun out of Zurich’s ETH in 2020, helps machine learning teams improve their AI vision models by automatically diagnosing issues and improving both the data and the models themselves. LatticeFlow uncovers a bias in data for training car damage inspection AI models.

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TechCrunch

FEBRUARY 2, 2022

They announced Wednesday an early access program to Scale Synthetic , a product that machine learning engineers can use to enhance their existing real-world data sets, according to the company. Scale hired two executives to build out this new division of its business. Scale customers saw that gap as well.

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