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AI

Microsoft announces Syntex, a set of automated document and data processing services • ZebethMedia

Two years ago, Microsoft debuted SharePoint Syntex, which leverages AI to automate the capture and classification of data from documents — building on SharePoint’s existing services. Today marks the expansion of the platform into Microsoft Syntex, a set of new products and capabilities including file annotation and data extraction. Syntex reads, tags and indexes document content — whether digital or physical — making it searchable and available within Microsoft 365 apps and helping manage the content lifecycle with security and retention settings. According to Chris McNulty, the director of Microsoft Syntex, driving the launch was customers’ increasing desire to “do more with less,” particularly as a recession looms. A 2021 survey from Dimensional Research found that more than two-thirds of companies leave valuable data untapped, largely because of problems building pipelines to access that data. “Just as business intelligence transformed the way companies use data to drive business decisions, Microsoft Syntex unlocks the value of the massive amount of content that resides within an organization,” McNulty told ZebethMedia in an email interview. “Virtually any industry with large scale content and processes will see benefits from adopting Microsoft Syntex. In particular, we see the greatest alignment with industries that work with a higher volume of technically dense and regulated content – financial services, manufacturing, health care, life sciences, and retail among them.” Syntex offers backup, arc1hiving, analytics and management tools for documents as well as a viewer to add annotations and redactions to files. Containers enable developers to store content in a managed sandbox, while “scenario accelerators” provide workflows for use cases like contract management, accounts payable and so on. “The Syntex content processor lets you build simple rules to trigger the next action, whether it’s a transaction, an alert, a workflow or just filing your content in the right libraries and folders,” McNulty explained. “[Meanwhile,] the advanced viewer adds an annotation and inking layer on top of any content viewable in Microsoft 365. Annotations can be made securely, with different permissions than the underlying content, and also without modifying the underlying content.” McNulty says that customers like TaylorMade are exploring ways to use Syntex for contract management and assembly, standardizing contracts with common clauses around financial terms. The company is also piloting the service to process orders, receipts and other transactional documents for accounts payable and finance teams, in addition to organizing and securing emails, attachments and other documents for intellectual property and patent filings. “One of the fastest-growing content transactions is e-signature,” McNulty said. “[With Syntex, you] can send electronic signature requests using Syntex, Adobe Acrobat Sign, DocuSign or any of our other e-signature partner solutions and your content stays in Microsoft 365 while it’s being reviewed and signed.” Intelligent document processing of the type Syntex does is often touted as a solution to the problem of file management and orchestration at scale. According to one source, 15% of a company’s revenue is spent creating, managing and distributing documents. Documents aren’t just costly — they’re time-wasting and error-prone. More than nine in 10 employees responding to a 2021 ABBY survey said that they waste up to eight hours each week looking through documents to find data, and using traditional methods to create a new document takes on average three hours and incurs six errors in punctuation, spellings, omissions or printing. A number of startups offer products to tackle this, including Hypatos, which applies deep learning to power a wide range of back-office automation with a focus on industries with heavy financial document processing needs. Flatfile automatically learns how imported data from files should be structured and cleaned, while another vendor, Klarity, aims to replace humans for tasks that require large-scale document review, including accounting order forms, purchase orders and agreements. As with many of its services announced today, Microsoft, evidently, is betting scale will work in its favor. “Syntex uses AI and automation technologies from across Microsoft, including summarization, translation and optical character recognition,” McNulty said. “Many of these services are being made available to Microsoft 365 commercial accounts with no additional upfront licensing under a new pay-as-you-go business model.” Syntex is beginning to roll out today and will continue to roll out in early 2023. Microsoft says it’ll have additional details on service pricing and packaging published on the Microsoft 365 message center and through licensing disclosure documentation in the coming months.

The Berlin startup that wants to give Zapier a run for its money • ZebethMedia

Zapier and IFTTT are, today, very large platforms for creating automation rules for texts or getting two apps to “talk” to each other via APIs. However, these are ‘hammers to crack nuts’ when it comes to processing simple tasks needed inside businesses. Furthermore, if you include images or video, or if the text referred to is unstructured, tools that require that structure won’t work so well, if at all. This was the thinking behind the Berlin-based Levity startup. It came up with a way for businesses to create AI-powered, ‘no-Code’ rules for automating tasks in a way that non-technical people can use. It’s now raised $8.3 million in seed funding, co-led by Balderton Capital (out of London) and Chalfen Ventures, as well as a number of Angels. Founded by Gero Keil and Thilo Hüllmann, Levity allows businesses to use simple templates to automate workflows, with, says the firm, an underlining AI which takes care of the heavy lifting. This uses NLP and computer vision in a single horizontal platform to parse unstructured data types – such as images, texts, and documents. Levity’s customers range from fashion and real estate to shipping, marketing, social media, scientific research, and others.  Typical use cases include automatically tagging and routing incoming emails or email attachments; triaging customer support tickets; sorting incoming documents into respective folders; or tagging visual inventory data, such as product photos. A little like Zapier, the platform integrates with Gmail, Outlook, Google Drive, Dropbox,  Airtable, and others. The startup says the system is also SOC2 Type I certified and GDPR compliant. In a statement, Gero Keil, co-founder and CEO of Levity said: “Businesses and their customers deserve the same opportunities to reap the benefits of AI and automation as their bigger rivals.” The platform launched this past August subscription prices start at $200 per month. James Wise, partner at Balderton Capital added: “There is an increasing divide between companies with the means to capitalize on AI and automation, and those smaller businesses who lack the resources to do so.  Levity is on a mission to close this divide.”

Great, now the AI is coming for your grandma’s recipes as well! • ZebethMedia

We’ve seen AIs create music, pornography and art. The Estonian startup Yummy started off creating a meal-kit startup, but along the way created an AI that can create and adapt recipes based on your taste and dietary restrictions, complete with AI-generated images of what your dishes might look like. “Imagine a world where you would not have to spend years of your life on deciding what to eat, search for recipes, research nutritional information and health benefits, follow diets and do grocery shopping,” says co-founder and CEO Martin Salo in an interview with ZebethMedia. “Imagine we solve this complex problem on your behalf, based on your personal preferences — and got it right every time.” The co-founders of the company started Clean Kitchen together in Estonia back in 2020. The company just raised a round of angel investment to bring meal kits to parts of the world where they aren’t as prevalent as in, say, the U.S. More than just the meal kits, though, the company is carving out a novel slice of the market, making every recipe customizable. “We’re using generative AI and other cutting-edge technologies to build a fully customizable meal planning and grocery shopping experience that delivers on budget, taste, health, variety, while minimizing food waste,” says the company’s CBO, Karl Paadam. “We’re not thinking in terms of individual store items but instead offering customers personalized outcomes.” On the Yummy platform, the company wants to make it as easy as writing a Dall-E prompt; “I want to be eating a varied vegetarian diet that will match my taste preferences, my exercise routine and my budget,” for example. “When we think about the current world of shopping for groceries, it’s all about ingredients or maybe recipes in meal kits, right? You can filter your search or perhaps modify ingredients so you can sort of get what you want, but that takes a fair bit of work,” says Salo. “What if you don’t talk about each ingredient but instead make broader choices? You could say ‘I want five fish dishes,’ then ‘okay, now make it cheaper,’ or ‘I want this to be a balanced diet’. Those things all have specific meanings to humans, but figuring it all out by hand would be a lot of work. Figuring out what all the ingredients contain, and if you change one ingredient, it throws everything off balance. If you do your monthly shop, you might actually go through hundreds of items — do you have time to read all of those labels?” That’s where Yummy throws the AI at the problem, giving users the option to make dishes with variations: The cool thing is that the company’s software doesn’t just generate the new recipes, it also generates the images to go with it. Super cool. “What makes this experience so powerful is that in a short time, when using the service, we will learn to create an endless amount of recipes that will exactly match all your preferences. Always,” laughs Paadam. “You will never have to think about all the complexities in regard to food ever again.” The company argues that these features make it possible to eat healthier with specialty ingredients that are in season, or locally available. “We did some really cool experiments. We’re now opening our meal-kit service in Poland, and we took a couple of our Estonian recipes, and said ‘make them more Polish,’ and suddenly, boom, certain national ingredients that were appearing in the instructions are replaced,” Paadam says. “The more generic ones were replaced with specific, locally available ingredients. This is the magic. We can say ‘make it faster to cook,’ ‘make it sweeter,’ ‘make it low calorie’ or ‘make it low sodium,’ and the AI takes care of it. You do not need to go read the labels to do all that research.” The company is backed by a collective of Estonian founders acting as angel investors, raising $3.6 million from investors including Markus Villig of Bolt, Mart Abramov of TaxScouts, Martin Koppel of Fortumo, Thomas Padovani of Adcash, Marko and Kristel Kruustük of Testlio, etc. as well as Startup WiseGuys, Andreas Mihalovits, Hatcher, DEPO and Exelixis, etc.

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