Technology
Alation launches AI governance suite to meet rising need
Alation on Wednesday unveiled an AI governance suite aimed at enabling enterprises improve returns on their increasing investments in AI and machine learning projects by using secure trusted data.
The set of tools includes AI documentation and collaboration capabilities, auditable AI lineage and traceability, compliance and risk mitigation features and expert guidance — including best practices — as customers develop models and applications.
Enterprise interest in developing AI, fueled by the explosion of interest in generative AI over the past two years, is increasing. Just as rising interest in self-service analytics required enterprises to develop data governance frameworks over the past 10 to 20 years, widespread use of AI tools requires AI governance frameworks, according to Doug Henschen, an analyst at Constellation Research.
Data and AI governance frameworks are sets of guidelines that enable organizations to protect themselves from regulatory violations as they use data and AI tools to inform decisions and automate processes. Simultaneously, they enable employees to confidently use data and AI tools in their workflows.
Vendors such as Alation and Collibra have long provided data governance capabilities to provide organizations with assurance as they operationalize their data. As the use of AI capabilities increases, it makes sense for vendors to provide similar governance capabilities for operationalizing AI.
“Being a data-driven activity, the development of AI must be governed as rigorously as we govern our data, so it’s a natural extension of data governance programs,” Henschen said. “Organizations need help with these challenges, so it’s good to see metadata management — a.k.a. data intelligence — vendors adding functionality to address AI-specific risks and emerging regulatory requirements.”
Likewise, Stewart Bond, an analyst at IDC, said that there’s a real need for AI governance as enterprises increasingly rely on AI tools.
Much of the need is related to the underlying data used to train and maintain models and applications, including protecting sensitive information that needs to be kept confidential and ensuring that enterprises only use quality data, to reduce the likelihood of incorrect and potentially toxic outcomes.
“AI governance is critical,” Bond said. “Research IDC has done shows that many of the issues that drive the need for AI governance are data governance related. Without governance, laws may be broken, sensitive information leaked, or incorrect outcomes will happen, such as hallucinations.”
Based in Redwood City, Calif., Alation is a data catalog specialist whose Data Intelligence Platform enables customers to integrate and organize data from disparate sources to train AI models and applications and inform data products.
In addition to Collibra, competitors include Atlan and Informatica, among others.
Enterprise interest in AI has exploded over the past two years, sparked by OpenAI’s launch of ChatGPT in November 2022. ChatGPT represented a significant increase in generative AI capabilities, which has only been improved upon since ChatGPT’s introduction with myriad other tech vendors also launching generative AI models and OpenAI continually adding its own updates. Key capabilities powered by generative AI models used with an enterprise’s proprietary data include true natural language processing that enables users of all skill levels to work with data and process automation.
Given those benefits, enterprises have responded by developing generative AI capabilities such as AI assistants that enable users to converse with their data and tools that automate coding, documentation and other repetitive tasks. They have also responded by developing more traditional AI and machine learning models and applications.
Meanwhile, vendors such as Databricks, Snowflake, AWS, Google Cloud and many others have built environments to make it easier for customers to develop AI tools.
With AI becoming more ubiquitous — and potentially becoming the primary means of consuming data and informing decisions — enterprises need to ensure that their AI tools are properly trained and used. Enter AI governance.
Enterprises can develop their own AI governance tools, just as they can build their own analytics and data management systems. But just as it’s often easier to use analytics and data management tools provided by a vendor, it’s also simpler to use AI governance capabilities provided by a specialist.
Collibra responded to rising demand for AI governance by launching Collibra AI Governance in April. Alation is now taking a similar approach with a suite Bond called “a significant addition for Alation customers and a logical step in Alation’s evolution.”
Intelligence about data has historically been Alation’s focus. The vendor’s AI governance capabilities extend that to intelligence about models. “Aligning data intelligence with model intelligence can help assure the right data is being used with the right model, at the right time, for the right reason, and within regulatory constraints,” Bond said. “This is what Alation is enabling.”
Alation’s AI governance suite includes the following capabilities:
Of particular note are the model lineage capabilities, according to Henschen. While other vendors are also addressing AI governance, visibility into specific training data and prompt engineering is a potential differentiator for Alation.
“I’ve seen AI governance-related announcements from rivals including Collibra, but Alation is unique in announcing training-data-specific, prompt-specific and model-specific capabilities,” Henschen said.
Motivation for developing an AI governance suite came from both customer feedback as well as Alation’s own observation of market conditions, according to Satyen Sangani, the vendor’s co-founder and CEO. In terms of market conditions, the combination of rising adoption in AI and new regulations provided a push.
“The urgency for AI governance has escalated due to new regulatory pressures and increased AI adoption,” Sangani said. “Legislation … underscores a growing mandate for companies to track, manage and understand their AI deployments.”
Customers, meanwhile, are increasingly aware of the costs related to ungoverned AI models and applications, he continued.
“Customers consistently highlight the need for reliable, AI-ready data to mitigate risks, support compliance and remain competitive amid tightening regulations and growing public scrutiny,” Sangani said. With Alation’s AI governance suite now available, Alation’s roadmap is focused on adding AI capabilities that make data curation and data discovery easier and more efficient, according to Sangani.
In addition, knowing that data management can be challenging, the vendor aims to provide new tools to help customers use data to inform their most valuable projects, he said.
Henschen, meanwhile, said that while Alation’s AI governance capabilities address some aspects of the model development process, others are not covered by the suite.
As a result, the vendor would be wise to update its AI governance toolkit with new features through product development and integrations with partners. “There’s a lot to the model development lifecycle, so … there are more capabilities that could be delivered and integrations yet to be created for market-leading model and service development products and platforms,” Henschen said.
Bond similarly noted that Alation has room to add more features to its AI governance suite. For example, government policies for AI are likely to become more stringent. As those new policies emerge, Alation will have an opportunity to add new capabilities.
“We are just starting to scratch the surface of what is needed, and can be done, in AI governance,” Bond said.
Eric Avidon is a senior news writer for TechTarget Editorial and a journalist with more than 25 years of experience. He covers analytics and data management.Governing AI
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Technology
Shinobi is the latest video game to get the big screen treatment
Back in the old days, there was no sure-fire indicator of box office poison more than a video game adaptation. The two mediums just didn’t gel. That has changed in recent years and now all kinds of gaming mascots are getting their chance to appear in a major motion picture or, at the very least, . Case in point? They’re now making a movie based on Shinobi, .
For the uninitiated, Shinobi is a famous hack-and-slash game developed by Sega in which you play as a ninja. There have been plenty of sequels throughout the years, though they mostly share the same basic story. Joe Musashi, the ninja, must beat up a bunch of very bad dudes. That’s pretty much it.
In other words, this is a blank canvas in which the filmmakers can do pretty much whatever they want without angering the online lore-keepers. Sam Hargrave has been tasked to direct the film for Universal, which is actually a decent choice. He made both Extraction films, with a third one on the way. These are solid action flicks and Shinobi is an action game.
Ken Kobayashi is writing the screenplay, after working on the for Apple+. He was also involved with Moonfall and the Marvel adaptation Hit Monkey. Sega’s Toru Nakahara, who has produced everything from the Sonic the Hedgehog cinematic universe, is also onboard.
Shinobi is still in the early stages of development, just like how most Shinobi players only get past the early stages of the game because it’s so dang hard. We don’t know when it’ll come out, nor do we have any casting news. We are, however, only a couple of months out . Keanu Reeves is in that one.
Technology
Streamer Plex rolls out movie and TV show reviews
Following its $40 million fundraise at the beginning of this year, streaming media company Plex announced on Wednesday it’s rolling out a new TV show and movie reviews feature, putting its app in more direct competition with other apps, like Letterboxd and TV Time. The feature will also include social networking elements, as the reviews can be shared with your friends on Plex and even friends of friends.
The company moved into the social networking space last year with the launch of a new “Discover Together” feature that allowed users to create profiles on the app and find and follow friends in order to discover news movies and shows together. With Discover Together, users could share what they’re watching with friends, what they’re bookmarking, and what they’ve rated the content. This latest release of movie and TV show reviews builds on that existing framework, making Plex not just a streaming hub, but also a streaming community.
Plex says that, initially, users’ reviews will only be shared within their network of friends and their friends, but it’s working on an update that will later allow users to share their ratings and reviews with anyone on the service. The company says it’s seeking beta testers for this feature now.
To access the new feature, users will need a verified email address to get started, but can then create their reviews from either the web interface or the mobile apps. To review items from your Personal Media library, users will need to enable a Sync Watch State & Ratings feature, Plex notes. Reviews will need to abide by Plex’s existing Community Guidelines, as well.
In addition, Plex users will be able to control which reviews they’ll see when on movie and show detail pages by accessing a new “Ratings and Reviews” option under Account settings. From here, users can choose to see reviews from Plex users and critics, users only, critics only, or from no one.
Plex users’ existing privacy settings will be preserved, as well — an area that Plex had earlier run into problems with due to how Discover Together was an opt-out, not opt-in experience, leading to users leaking their embarrassing viewing habits to friends and family.
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Technology
US v. Google antitrust trial: updates
It’s Internet Explorer day in US v. Google!
We’re a bit over an hour into Sundar Pichai’s testimony in US v. Google, and we’ve spent a surprising amount of the morning in a time machine back to 2005.
That’s when Microsoft released Internet Explorer 7 (the browser a Pichai-led team would ultimately crush by launching Google Chrome). At the time, Google’s legal chief David Drummond sent Microsoft a letter that was very mad about search defaults. Drummond wanted a choice screen, and said Google was very worried about the anticompetitive nature of Microsoft prioritizing its own search engine.
Pichai is being asked a lot of questions that amount to, “this is now the argument against you, right?” So far, he’s sparring with it pretty well.
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