Enterprise

Alphabet goes deep into industrial robotic software with Intrinsic

If it succeeds, the gambit could help support Google Cloud's lofty ambitions in the manufacturing sector.

Alphabet goes deep into industrial robotic software with Intrinsic

Alphabet is aiming to make advanced robotic technology affordable to customers.

Photo: Getty Images

Alphabet launched a new division Friday called Intrinsic, which will focus on building software for industrial robots, per a blog post. The move plunges the tech giant deeper into a sector that's in the midst of a major wave of digitization.

The goal of Intrinsic is to "give industrial robots the ability to sense, learn, and automatically make adjustments as they're completing tasks, so they work in a wider range of settings and applications," CEO Wendy Tan-White wrote in the post.

That's a laudable mission, but one that will require immense engineering work in order to build a product that can ultimately be deployed relatively easily at an enterprise-grade level, a challenge Tan-White openly admitted lay ahead.

"None of this is realistic or affordable to automate today," she wrote. "This all hints at the potential for Intrinsic's software to radically reduce the time, cost, and complexity required to use industrial robots."

Intrinsic has some heavy hitters on its side to help achieve that goal, including Chief Technology Officer Torsten Kroeger and Martin Haegele, a former winner of the Engelberger Award, which is essentially the Nobel Prize for robotics.

While it's possible to train robots to handle extremely repetitive tasks, those processes begin to break down as those tasks become more complicated. Other tech giants like Nvidia are also trying to improve the capabilities of industrial robots: The chip maker has an AI lab in Seattle that is testing out several different types of robotic systems.

For Alphabet, the software could help propel other parts of the business. Manufacturing has emerged as a key focus for Google Cloud, which recently released its first industry-specific tool: an AI-based visual inspection tool. It also hired sector veterans like former SAP executive Hans Thalbauer and Accenture's Suchitra Bose to help forge deeper partnerships with other software providers and build up its own product suite.

But other cloud vendors, namely Microsoft, also sense the opportunity in further digitizing an industry that has already embraced advanced tech like artificial intelligence. For Microsoft and Google, the industrial segment is attractive because many of the promised innovations of the future — like digital twins and generative design — are going to require huge amounts of data, which means they'll need lots of expensive computing and storage services.

One of Google's biggest differentiators in the market is its AI. The company is world-renowned for the technology; just look at Alphabet's announcement earlier this week that DeepMind would release a huge database of 3D protein structures.

If Intrinsic succeeds, it could give Google Cloud, which currently lags behind AWS and Microsoft in the overall cloud infrastructure sector, a huge presence in a critical market.

Fintech

Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

Keep ReadingShow less
Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

The financial technology transformation is driving competition, creating consumer choice, and shaping the future of finance. Hear from seven fintech leaders who are reshaping the future of finance, and join the inaugural Financial Technology Association Fintech Summit to learn more.

Keep ReadingShow less
FTA
The Financial Technology Association (FTA) represents industry leaders shaping the future of finance. We champion the power of technology-centered financial services and advocate for the modernization of financial regulation to support inclusion and responsible innovation.
Enterprise

AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

It will be the second re:Invent with CEO Adam Selipsky as leader of the industry’s largest cloud provider after his return last year to AWS from data visualization company Tableau Software.

Keep ReadingShow less
Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December.

Keep ReadingShow less
Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

Enterprise

Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

Keep ReadingShow less
Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia.org and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

Latest Stories
Bulletins