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Alation launches AI governance suite to meet rising need

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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.

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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.

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“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.

Governing AI

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.

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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.

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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.

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“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:

  • Intelligent search so that data scientists, engineers, machine learning specialists and other AI model and application developers can quickly locate and tag relevant datasets that meet compliance regulations so they can be used to build a trusted foundation for AI tools.
  • Centralized collaboration including model card templates so enterprises can create a primary data source for documenting and managing their AI assets that is easily visible to all potential users.
  • AI model lineage to provide users with full visibility of a model’s lifecycle, including cataloging the datasets used to inform AI systems, the ways generative AI models were trained to understand an organization and the model’s outputs.
  • Automated capabilities that flag non-compliant datasets to ensure that models are developed using high quality data that does not run afoul of regulations.
  • Expert Services to provide customers with guidance and best practices for developing model cards that can be catalogued.

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.

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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.

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Looking ahead

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.

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“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.

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Rackmount Solutions: How To Assemble the Cruxial™ Wall Mount Rack

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Rackmount Solutions: How To Assemble the Cruxial™ Wall Mount Rack



This video will help you assemble Rackmount Solutions’ Cruxial ™ WM series wallmount racks. These self-squaring racks are available in 8u, 12u, 15u and 18u with depths of 13″ and 19″. Assembles in less than 15 minutes.

A relay rack made from U.S. American Finished Steel, the WM Series is built tough in order to handle your server, data center, networking needs.

Rackmount Solutions is an industry leader in supplying server racks, server cabinets, wallmount racks, network racks, LAN racks, portable rackmount cases and accessory products for the IT/Network professional. We deliver rackmount storage server rack solutions for 19″, 23″, 24″ and 28″ wide equipment, as well as PCI Data Security Storage compliant cabinets and racks. We pride ourselves in providing quality customer service. Please call us toll free at 1-800-352-6631 and let us know how we can solve your rackmount needs.

http://www.rackmountsolutions.net/Wall_Mount_Rack_Cabinet/Wall_mount_Rack_Cabinet_Entry.asp .

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Gradio 5 is here: Hugging Face’s newest tool simplifies building AI-powered web apps

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Gradio 5 is here: Hugging Face’s newest tool simplifies building AI-powered web apps

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Hugging Face, the fast-growing AI startup valued at about $4.5 billion, has launched Gradio 5, a major update to its popular open-source tool for creating machine learning applications. The new version aims to make AI development more accessible, potentially speeding up enterprise adoption of machine learning technologies.

Gradio, which Hugging Face acquired in 2021, has quickly become a cornerstone of the company’s offerings. With over 2 million monthly users and more than 470,000 applications built on the platform, Gradio has emerged as a key player in the AI development ecosystem.

Bridging the gap: Python proficiency meets web development ease

The latest version aims to bridge the gap between machine learning expertise and web development skills. “Machine learning developers are very comfortable programming in Python, and oftentimes, less so with the nuts and bolts of web development,” explained Abubakar Abid, Founder of Gradio, in an exclusive interview with VentureBeat. “Gradio lets developers build performant, scalable apps that follow best practices in security and accessibility, all in just a few lines of Python.”

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One of the most notable features of Gradio 5 is its focus on enterprise-grade security. Abid highlighted this aspect, telling VentureBeat, “We hired Trail of Bits, a well-known cybersecurity company, to do an independent audit of Gradio, and included fixes for all the issues that they found in Gradio 5… For Gradio developers, the key benefit is that your Gradio 5 apps will, out-of-the-box, follow best practices in web security, even if you are not an expert in web security yourself.”

AI-assisted app creation: Enhancing development with natural language prompts

The release also introduces an experimental AI Playground, allowing developers to generate and preview Gradio apps using natural language prompts. Ahsen Khaliq, ML Growth Lead at Gradio, emphasized the importance of this feature, saying, “Similar to other AI coding environments, you can enter a text prompt explaining what kind of app you want to build and an LLM will turn it into Gradio code. But unlike other coding environments, you can also see an instant preview of your Gradio app and run it in the browser.”

This innovation could dramatically reduce the time and expertise needed to create functional AI applications, potentially making AI development more accessible to a wider range of businesses and developers.

Gradio’s position in the AI ecosystem is becoming increasingly central. “Once a model is available on a hub like the Hugging Face Hub or downloaded locally, developers can wrap it into a web app using Gradio in a few lines of code,” Khaliq explained. This flexibility has led to Gradio being used in notable projects like Chatbot Arena, Open NotebookLM, and Stable Diffusion.

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Future-proofing enterprise AI: Gradio’s roadmap for innovation

The launch of Gradio 5 comes at a time when enterprise adoption of AI is accelerating. By simplifying the process of creating production-ready AI applications, Hugging Face is positioning itself to capture a significant share of this growing market.

Looking ahead, Abid hinted at ambitious plans for Gradio: “Many of the changes we’ve made in Gradio 5 are designed to enable new functionality that we will be shipping in the coming weeks… Stay tuned for: multi-page Gradio apps, navbars and sidebars, support for running Gradio apps on mobile using PWA and potentially native app support, more built-in components to support new modalities that are emerging around images and video, and much more.”

As AI continues to impact various industries, tools like Gradio 5 that connect advanced technology with practical business applications are likely to play a vital role. With this release, Hugging Face is not just updating a product — it’s potentially altering the landscape of enterprise AI development.


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European unicorn Alan becomes Canada’s first new health insurance company in almost 70 years

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Alan co-founder and CEO Jean-Charles Samuelian-Werve

In 2016, when Alan originally launched its health insurance product in France, it was the first new health insurance company in the country in 30 years. Now, as Alan announces its expansion to Canada, the startup is about to break a new record: There hasn’t been a new health insurance company in Canada since 1957.

In many ways, Alan treats health insurance as software as a service. It’s a subscription-first product that can be optimized with technology. For instance, Alan has built its own claim management system. Its flagship product is health insurance that complements the national healthcare system in France. French companies must provide health insurance to all their employees when they join.

The startup has also added additional services to improve consumer satisfaction, reduce churn, and win new deals. Alan members can use the company’s mobile app, for example, to chat with doctors, order prescription glasses, and consume preventive care content on mental health or back pain.

While the company has raised a ton of money — including a recently announced €173 million Series F round — Alan has been relatively focused when it comes to geographic coverage. In addition to its home country, the service is also available in Belgium and Spain.

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It’s such a big market, however, that it doesn’t necessarily need to launch everywhere to find new clients. It currently covers 675,000 people across its three markets. Given that nearly 100% of the population in France, Belgium, and Spain has a health insurance contract, Alan is still a challenger.

But that hasn’t seemed to stop Alan’s expansion plans. The company has obtained a federal OFSI license in Canada, meaning that it can officially operate as an insurance company in the country. It’s building a local board and a local team with insurance and healthcare experts.

“You cannot use your European license in Canada. You need to apply for a new license. But then the rules in terms of solvency, distribution, risk management, and so on are very, very similar,” Alan co-founder and CEO Jean-Charles Samuelian-Werve told TechCrunch.

Alan is essentially bringing the full Alan product suite to Canada and plans to hire 50 people in the country over the next few years.

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It’s surprising that Alan didn’t pick a European country for its next market expansion. Part of the reason can be found on Alan’s capitalization table. Teachers’ Venture Growth (TVG), the venture fund of the Ontario Teachers’ Pension Plan Board, led Alan’s Series E round. But with Canada, Alan wanted to make a statement.

“I try to be very long-term oriented in the way we make our decisions at Alan. And when I picture Alan in 10 years from now, I don’t see us just as a European company. I see us as a global company,” Samuelian-Werve said.

Canada is also a fairly large market, with both a national healthcare system and private health insurance coverage. Primary care is covered by the government, but a good portion of healthcare, around $60 billion a year, is handled by health insurance providers. And things haven’t changed much lately.

“In Canada, there are only 20 [health insurance providers] that have at least 1% in market share. That number is 400 in France … It’s really, really uncompetitive [in Canada],” Alan’s general manager for Canada, Mark Goad, said. “And if you look at the satisfaction ratings with the net promoter score, it’s at -8 in Canada, whereas Alan operates at +70.”

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Just like in France, the Canadian team is going to distribute Alan through employers. Employers typically pick one health insurance provider to cover the entire workforce of that company.

Around 55 Canadian companies have already expressed interest in trying Alan. The company plans to onboard one customer per week starting in January 2025. It will then launch its self-signup portal at some point during the second quarter of 2025.

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3 Side open Rack. #shorts #dalyvlog

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3 Side open Rack. #shorts #dalyvlog

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This bottle-sized rotating projector won’t fall over

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This bottle-sized rotating projector won’t fall over

JMGO’s new Picoflix adds to the ever-growing list of portable projectors small enough to be carried in a water bottle pocket. But instead of standing on one end like many cylindrical compact projectors do, the Picoflix is used horizontally and features an integrated rotating gimbal so it’s easier to aim at a screen or wall.

Available now through the company’s website for $599, the Picoflix uses a 1080P LED light source capable of outputting up to 450 ANSI lumens of brightness. That’s a little less than what similarly-sized projectors — such as the Samsung Freestyle — are capable of, but it should be adequate for use in dark conditions assuming you’re not trying to fill a movie theater-sized screen.

Cylindrical projectors with integrated gimbals aren’t a new idea. Both the Samsung Freestyle and the Xgimi MoGo 3 Pro offer that functionality, but both stand vertically and depend on a base that needs to be wide enough to add stability. The Picoflix can’t fall over because it’s already laying on its side while in use, and simply relies on a small foot on one end to prevent it from rolling away. As a result, it measures in at around 9.5-inches long and just 3.14-inches in diameter. That’s even narrower than a 40-ounce Stanley cup.

Being able to rotate the projector’s lens a full 127-degrees offers more flexibility when it comes to where you set it up. You can position it much lower than what you’re projecting on so as to not obstruct sight lines, while JMGO’s screen alignment tech will automatically straighten out the image — to some degree. The Picoflix isn’t designed to be used as a short throw projector.

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An external power source isn’t necessary as the Picoflix has a 10,000mAh battery built in. JMGO claims that it can last for as long as 4.5 hours when watching movies, but that’s dependent on the projector being in eco mode, which is going to significantly reduce its brightness. You can expect playback time to be quite a bit shorter when using it at full brightness, so plan on bringing an extra battery if you’ll be using it away from a reliable power source.

At 3.3-pounds the Picoflix will add a bit of weight to your backpack if you bring it camping.
Image: JMGO

The Picoflix’s connectivity is limited to a single HDMI 2.1 port with eARC support, a pair of USB-A ports, and a USB-C port, all located on either end of the projector. Content can be played from an external drive, but the Picoflix also has Wi-Fi 6 and runs Google TV so you have access to various streaming services including Netflix, which often isn’t supported on all-in-one projectors from Chinese companies.

When not watching videos, the Picoflix can also be used to listen to music through its 10W speaker. It supports Bluetooth 5.4, and JMGO says battery life jumps to about seven hours on a full charge while only listening to audio.

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Supermicro Storage system 6027R E1R12N, rackmount server, data storage

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Supermicro Storage system 6027R E1R12N, rackmount server, data storage



For more details visit our site: www.serverfactory.co.uk
Supermicro SuperStorage server
2x Intel® Xeon® processor E5-2600
Up to 1.5TB ECC DDR3, Up to 1866MHz, 24x DIMM sockets
3x PCI-E 3.0 x16 and 1x PCI-E 3.0 x8 slots (Low-profile)
Intel® i350 GbE Controller; 4x ports
12x Hot-swap 3.5″ SAS2 (with LSI expander) / SATA3 HDD Bays
Hardware RAID controller and JBOD Expansion; RAID 0, 1, 5, 6, 10, 50, 60
Server remote management: IPMI 2.0 / KVM over LAN / Media over LAN
3x Heavy duty PWM fans
920W Redundant Power Supplies, Platinum Level (94%)
For more details visit our site: www.serverfactory.co.uk .

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