{"id":33653,"date":"2023-10-16T03:00:00","date_gmt":"2023-10-16T10:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=33653"},"modified":"2023-10-12T15:14:43","modified_gmt":"2023-10-12T22:14:43","slug":"generative-ai-report-10-16-2023","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/10\/16\/generative-ai-report-10-16-2023\/","title":{"rendered":"Generative AI Report \u2013 10\/16\/2023"},"content":{"rendered":"\n

Welcome to the\u00a0Generative AI Report<\/strong>\u00a0round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We\u2019ve been receiving so many cool news items relating to applications and deployments centered on large language models (LLMs), we thought it would be a timely service for readers to start a new channel along these lines. The combination of a LLM, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating. The field of AI is accelerating at such fast rate, we want to help our loyal global audience keep pace.<\/p>\n\n\n\n

Nucleus.ai founders emerge from stealth and demonstrate that Big Tech companies aren\u2019t the only ones building large language models<\/strong><\/p>\n\n\n\n

The four founders at startup NucleusAI just emerged from stealth and demonstrated they are able to build large language models (LLMs) like the Big Tech companies. NucleusAI just launched a 22-billion-parameter LLM that outperforms all the models of similar size including Llama 2 13B.<\/p>\n\n\n\n

Typically, foundational models are built by 30 to 100 people with skill sets that address the different aspects of LLMs. The fact Nucleus has achieved the same or better with just four people and the open source community is a testament to the team\u2019s overall expertise. There have been only a handful of companies to have open sourced and commercially licensed an LLM: Meta, Salesforce, Mosaic and Falcon by TII (UAE government funded) among them. With this release Nucleus will join that exclusive list. Nucleus is unique among those companies as an early stage startup.\u00a0<\/p>\n\n\n\n

Alteryx Launches New Alteryx AiDIN Innovations to Fuel Enterprise-wide Adoption of Generative AI<\/strong><\/p>\n\n\n\n

Alteryx, Inc.<\/a>\u00a0(NYSE: AYX), the Analytics Cloud Platform company, announced new\u00a0Alteryx AiDIN<\/a>\u00a0innovations, including AI Studio, one of the industry’s first deployment-agnostic interfaces that is purpose-built for no-code users to leverage generative AI.\u00a0Nearly 90 percent of companies\u00a0currently using generative AI reported seeing benefits from the technology, and the new Alteryx AiDIN innovations are designed to help organizations incorporate custom business data into LLMs in a governed manner to drive operational agility and deliver competitive advantage.<\/p>\n\n\n\n

“From staying ahead of the competition and expanding into new markets to increasing productivity, organizations are looking for new ways to win with generative AI,” said Suresh Vittal, chief product officer at Alteryx. “With Alteryx AiDIN, we’re helping customers propel their organizations forward by making it easy for any user to responsibly use LLMs and generate outcomes that drive business growth and productivity.”<\/em><\/p>\n\n\n\n

Zip Introduces Generative AI Suite That Brings New Competitive Advantages to Finance and Procurement Teams<\/strong><\/p>\n\n\n\n

Zip<\/a>, the intake-to-pay platform, announced a new embedded generative AI product suite that automates previously manual workflows, flags legal and security risks, and generates valuable business insights. The release, which focuses on document intelligence, integrates AI directly into request intake, approval and contract renewal workflows.<\/p>\n\n\n\n

The new\u00a0AI capabilities<\/a>\u00a0eliminate thousands of hours employees spend on error-prone data entry for purchase requests, purchase orders and invoices, as well as on time-consuming vendor contract reviews. In addition, these AI capabilities can search aggregated insights across all contracts, including key risks and vendor consolidation opportunities that would otherwise take significant time and budget to manually identify.<\/p>\n\n\n\n

\u201cGenerative AI is one of our top focuses at Zip. We think generative AI will fundamentally transform how requesters, cross-functional approvers, finance and procurement process owners experience the intake-to-pay process, and have made a big bet on leveraging generative AI to improve all aspects of our platform. This is just the beginning,\u201d said Rujul Zaparde, CEO and co-founder of Zip. \u201cOur ability to anticipate our customers’ needs is core to Zip\u2019s rapid adoption by companies worldwide. As genAI technology matures, Zip will implement this transformational technology in practical ways to continually improve purchasing and AP processes. We\u2019re committed to providing embedded AI solutions that are directly applicable to the day-to-day workflows our customers already love and use, so they can deliver meaningful competitive advantages for their businesses.\u201d<\/em><\/p>\n\n\n\n

Pump Launches PumpGPT to solve AWS business support challenge<\/strong><\/p>\n\n\n\n

Thousands of companies rely on cloud provider Amazon Web Services (AWS) to function, spending close $100b every year. Using AWS comes with a steep learning curve and immense complexity, so it is unsurprisingly almost 10% of their budget is spent on the AWS support function. Helping these companies save that support spend,\u00a0cloud spend manager Pump\u00a0has launched\u00a0PumptGPT<\/a>\u00a0the first GPT-powered AI AWS support tool trained on a customer’s own cloud environment.<\/p>\n\n\n\n

Spandana Nakka, CEO of Pump\u00a0 commented: “Our mission has always been to use technology to democratize all aspects of AWS for our customers. First, we tackled spending, helping users save up to 60%. Now, we’re taking on support. With PumpGPT, quality AWS support should not be a luxury; it’s a given.”<\/em><\/p>\n\n\n\n

SnapLogic Leverages Amazon Bedrock to Make Anthropic\u2019s Model Claude Available in SnapGPT<\/strong><\/p>\n\n\n\n

SnapLogic, a leader in generative integration, announced it is working with Amazon Web Services (AWS) to expand the capabilities of SnapGPT, SnapLogic\u2019s generative integration interface. As part of this collaboration, SnapLogic will make Anthropic\u2019s cutting-edge Large Language Model (LLM), Claude 2, offered by Amazon Bedrock, available within the SnapGPT platform that was made generally available earlier this year. Amazon Bedrock is a fully managed service that provides access to industry-leading foundation models via an API to build and scale generative artificial intelligence (AI) applications.<\/p>\n\n\n\n

SnapLogic introduced SnapGPT<\/a>, an innovative generative integration solution, powered by proprietary and open source AI this spring. With hundreds of customers already experiencing its game-changing potential, SnapGPT has set a new standard for integration and automation, streamlining complex processes and powering businesses into a data-driven future. By using natural language prompts, customers are using SnapGPT to accelerate the creation of new pipelines, instantly document new and old pipelines, create sample data, and generate SQL queries, expressions, mappings, and more.<\/p>\n\n\n\n

\u201cSnapLogic is committed to providing our customers with the most advanced language models available, and our work with Amazon Bedrock and the integration of Anthropic\u2019s model Claude 2 into SnapGPT is a testament to that commitment,\u201d said Jeremiah Stone, CTO of SnapLogic. \u201cThis collaboration will empower our users to harness the full potential of natural language processing in their applications, making generative integration and automation even more accessible and powerful.\u201d<\/em><\/p>\n\n\n\n

Writesonic Unleashes Botsonic: A New Era of AI-Powered Customer Interaction<\/strong><\/p>\n\n\n\n

Writesonic<\/a>, a Y-Combinator-backed Generative AI platform, unveiled Botsonic, a revolutionary AI chatbot set to reshape the landscape of customer communications. Enriched with cutting-edge generative AI and large language models \u2013 including OpenAI’s GPT-4 \u2013 Botsonic offers an unprecedented level of autonomous decision-making and personalized user experiences that will revolutionize the way businesses and organizations use chatbots across retail, travel, real estate, education and many other industries.<\/p>\n\n\n\n

“We’re thrilled to introduce Botsonic, a milestone for Writesonic and a new era in AI-powered customer interaction. Botsonic redefines how businesses engage with customers, offering unprecedented autonomy and personalization, said Samanyou Garg, CEO and Co-Founder of Writesonic. \u201cPowered by cutting-edge AI, Botsonic reflects our commitment to efficiency and customer satisfaction. With this launch we will be able to help businesses seamlessly transform customer communications across industries.”<\/em><\/p>\n\n\n\n

UiPath Announces Autopilot\u2122\u00a0to Make AI at Work a Reality<\/strong><\/p>\n\n\n\n

UiPath<\/a> (NYSE: PATH), a leading\u00a0enterprise automation\u00a0software company, announced its platform\u2019s latest artificial intelligence (AI) features with Autopilot\u2122, an integration of Generative AI, Specialized AI, and automation that allows any user to automate work fast using natural language.<\/p>\n\n\n\n

UiPath Autopilot can transform paper documents to automation-powered apps with a single click, enabling digital transformation that has eluded enterprises for too long. The new AI features of the UiPath Business Automation Platform reveal untapped automation prospects and process enhancement opportunities, and guarantee efficient development of automations, all anchored in a foundation of enterprise-grade capabilities.<\/p>\n\n\n\n

\u201cBy taking a user\u2019s words, screenshots, or PDFs from paper documents as an input, Autopilot for Apps can create a robust automation workflow or interfaces for automations. This enables \u2018one-click digital transformation\u2019 for organizations by taking automated action,\u201d said Graham Sheldon, Chief Product Officer at UiPath. \u201cUiPath can operationalize the transformative force of AI through automation, seamlessly integrating intelligence into everyday operations, automating all knowledge work, upleveling employees, and revolutionizing entire industries with AI at work. And importantly, the UiPath AI Trust Layer will allow customers to use these new AI capabilities with confidence knowing their data is secure.\u201d<\/em><\/p>\n\n\n\n

Xero unveils new GenAI-driven search helping customers get answers faster<\/strong><\/p>\n\n\n\n

Xero<\/a>,\u00a0the global small business platform, announced it has implemented a Generative AI (GenAI) solution in Xero Central to help deliver accurate support answers faster for its millions of customers and users. In partnership with\u00a0Coveo<\/a>\u00a0and powered by GenAI, generated answers are available in\u00a0Xero Central<\/a>\u00a0– Xero\u2019s customer support and learning site.<\/p>\n\n\n\n

The use of GenAI-driven search in Xero Central leverages Coveo\u2019s platform and works by integrating generative answers so when customers enter a search term or question, they will receive an answer as well as a list of other relevant content articles. The answers are generated from Xero\u2019s extensive support content articles, written by the Xero team. Customers get the information they need faster, as they don\u2019t have to keep scrolling through content to find the relevant articles they need. Customers can also filter their searches – based on whether they are a small business, or an accountant or bookkeeper – to get the most relevant answers.<\/p>\n\n\n\n

Nigel Piper, Executive General Manager – Customer Experience at Xero said: \u201cXero strives to be at the forefront of innovative customer experience, and this is a significant step towards our goal to build a support model which brings together the best of digital experiences powered by human capability. It\u2019s really about making it as simple and intuitive as possible for customers – whether they\u2019re small businesses or accountants and bookkeepers – to find the information they need to solve their problem so they can get back to running their business or supporting their clients. The feedback we\u2019re getting already on the generated answers has been hugely positive. We understand customers like to have a choice too, so customers can continue to raise a support case for one-on-one assistance, or request a phone call from one of our hundreds of customer support specialists based around the world, if that is their preference.\u201d<\/em><\/p>\n\n\n\n

Portal26 Announces the General Availability of its Generative AI Visibility and AI TRiSM SaaS Platform<\/strong><\/p>\n\n\n\n

Portal26<\/a>, the Silicon Valley-based tech start-up formerly known as\u00a0Titaniam, announced the general availability of its breakthrough Generative AI (GenAI) Visibility and AI TRiSM (Artificial Intelligence (AI) Trust, Risk, and Security Management)\u00a0SaaS<\/a>\u00a0Platform.<\/p>\n\n\n\n

The new platform provides the essential components required to build a competitive and responsible GenAI program. Enterprises can now gain full, real-time visibility into all sanctioned and unsanctioned GenAI use. This enables unprecedented insights and analytics to support accelerated adoption and provides the rapid deployment of governance and security to manage risk, all through the same platform.\u00a0 The platform also features\u00a0AI security\u00a0that enables the secure and responsible creation of AI models. The company also continues to offer\u00a0core data security and encryption capabilities\u00a0through its Security Vault and Secure Search Plug-in and Cloud Storage Proxies.<\/p>\n\n\n\n

\u201cAlmost every GenAI program is new. It\u2019s clear that enterprises are racing to rapidly develop these programs to unleash the potential of GenAI for increased competitiveness, productivity, and growth. The first step on that journey is to gain a clear understanding of what is currently going on in their organization,\u201d said Arti Raman, CEO and Founder of Portal26. \u201cYou can\u2019t manage what you can\u2019t see, and a strong GenAI foundation starts with the ability to benchmark, understand, measure, and monitor success as well as risk. With Portal26, organizations can now remove the GenAI blindfold and move forward with confidence.\u201d\u00a0\u00a0<\/em><\/p>\n\n\n\n

Contentful Announces New Products and Capabilities for the Contentful\u00ae Composable Content Platform to Intelligently Accelerate Creativity of Digital Teams<\/strong><\/p>\n\n\n\n

Contentful<\/a>, a leading composable content platform for digital-first business,\u00a0announced the launch of new products and capabilities, including AI-powered advancements, that unlock all digital content across the organization to deliver impactful experiences at scale.\u00a0<\/p>\n\n\n\n

In today\u2019s digital first world, boundaries and expectations are constantly changing while the landscape of digital channels continues to evolve. Through it all, content is the customer experience. It’s through content that organizations captivate, entertain, and engage. And now, with the seismic shift driven by generative AI, organizations must determine how to take advantage of the latest technical advancements to deliver and scale experiences with the increasing speed, efficiency and intelligence that is essential to compete in the marketplace. <\/p>\n\n\n\n

\u201cGenerative AI has ushered in a pivotal new era in which humans can accelerate their creativity by leveraging the power of machines to support improved speed, experimentation and collaboration. This will revolutionize the way we create, deliver, and interact with content,\u201d said Steve Sloan, CEO of Contentful. \u201cAt Contentful, our vision is unlocking the power of digital content for our customers, and we are already enabling this power through our latest composable content capabilities, infused with the power of AI, with more planned on our product roadmap to help digital teams reach their full potential.\u201d\u00a0<\/em><\/p>\n\n\n\n

Balancing Efficiency with Employee Care: MakeShift Unveils ShiftMate AI to Modernize Workforce Scheduling<\/strong>\u00a0<\/p>\n\n\n\n

MakeShift, renowned for its award-winning cloud employee scheduling and time-tracking platform, announced the launch of ShiftMate AI<\/a>, a generative AI platform that was designed to address the unique scheduling challenges faced by essential industries like healthcare and retail. With ShiftMate AI, for the first time ever, organizations won’t have to choose between operational efficiency or staff well-being. By harnessing the power of AI, ShiftMate AI promises to allow businesses to achieve both.\u00a0<\/p>\n\n\n\n

ShiftMate AI infuses MakeShift technology with Ikigai Labs\u2019 unparalleled generative AI for tabular data capabilities and OpenAI\u2019s ChatGPT to transform the way organizations schedule and manage their workforce in the face of labor shortages, burnout, and the increasing demand for flexible work.\u00a0\u00a0<\/p>\n\n\n\n

\u201cThe modern workforce presents a challenging dichotomy for healthcare and retail, said Adam Greenberg, MakeShift CEO. \u201cCritical industries are often caught in a tug-of-war between optimizing for cost reduction and operational efficiency on one hand, and ensuring employee well-being on the other. Traditional solutions force businesses into a precarious trade-off: push for maximum efficiency and risk high turnover, burnout, and compromised service quality, or prioritize staff wellness and face operational inefficiencies. With the launch of ShiftMate AI, this ends. ShiftMate AI is where empathy meets efficiency.\u201d\u00a0<\/em><\/p>\n\n\n\n

DataRobot Announces Generative AI Offering<\/strong><\/p>\n\n\n\n

DataRobot, a leader in Value-Driven AI, today announced a new generative AI offering<\/a>, including platform capabilities and applied AI services, to accelerate the path from concept to value with generative AI. This offering uniquely brings both generative and predictive AI capabilities together in the DataRobot AI Platform, delivering an open and end-to-end solution for you to experiment, build, deploy, monitor and moderate enterprise-grade AI applications and assistants, and drive impact for your business.<\/p>\n\n\n\n

\u201cWe\u2019ve talked to hundreds of customers looking to adopt generative AI who have concerns about existing tools on the market, including security and reputational risks, vendor lock-in and mounting technical debt from piecemeal solutions,\u201d said Jay Schuren, Chief Customer Officer, DataRobot. \u201cWith over a decade at the forefront of AI innovation, we understand what it takes to deliver AI successfully and safely. Our new offering gives your teams everything they need to experiment quickly, deploy in production, monitor to ensure quality and ultimately get value from your generative AI projects.\u201d\u00a0<\/em><\/p>\n\n\n\n

Dialpad Launches DialpadGPT, the First Generative AI Built for Enterprises of All Sizes<\/strong><\/p>\n\n\n\n

Dialpad, Inc.<\/a>, a leading AI-Powered Customer Intelligence Platform, announced the launch of DialpadGPT<\/a> \u2013 a domain-specific large language model (LLM) tailored specifically to power features that automate tasks for enterprises of all sizes improving customer service, sales, and recruiting experiences. Built on over five years and five billion minutes of proprietary conversational data, DialpadGPT is the first LLM designed specifically to cater to the evolving needs of today’s businesses and their employees. This revolutionary real-time generative AI is based on the language of business and utilizes conversational and messaging data across customer service, sales, recruiting, and employee collaboration to harness the power of AI automation and AI assistance at scale.<\/p>\n\n\n\n

\u201cLLMs are only as accurate and strong as the data they are trained on,\u201d said Dan O\u2019Connell, Chief Ai & Strategy Officer at Dialpad. \u201cDialpadGPT was purpose-built for the enterprise, and addresses businesses\u2019 common qualms with existing LLMs. It leverages our transcription engine, that has best-in-class accuracy, to produce strong, unbiased results at a fast speed, provides the opportunity to scale, and meets high security and compliance standards \u2013 all at a lower cost than existing LLMs. AI has been at the heart of Dialpad\u2019s business for more than five years, and we\u2019re excited to bring such a transformative tool to market.\u201d<\/em><\/p>\n\n\n\n

Betterworks Announces New Generative AI Capabilities to Help Make Managers More Effective<\/strong><\/p>\n\n\n\n

As the world grapples with the demands of an evolving workplace,\u00a0Betterworks<\/a>\u00a0has taken a significant step in its mission to rethink performance management and help companies cultivate more productive employees and teams. The company announced the next generation of its Intelligent Performance Management solution featuring three new generative AI capabilities that make creating clear goals, giving impactful employee feedback, and having meaningful and productive performance conversations easier than ever before.<\/p>\n\n\n\n

\u201cGenerative AI accelerates the realization of our vision to make the performance process efficient, effective, and fair and enable everyone in an organization to work at their highest potential,\u201d said Doug Dennerline, chief executive officer of Betterworks. \u201cWe\u2019re completely revolutionizing the traditional approach to performance management and making it easier for managers to be the kind of exceptional coaches who produce top performers and strong business results \u2014 both by relieving an administrative burden and by turning employee performance data into accurate and actionable insight with AI. This next generation of our solution is transformative for businesses that want to cultivate a high-performing workforce and achieve their business goals.\u201d<\/em><\/p>\n\n\n\n

Zebra Technologies and Qualcomm Demonstrate GenAI on Mobile Devices<\/strong><\/p>\n\n\n\n

Zebra Technologies Corporation<\/a>\u00a0(NASDAQ: ZBRA), a leading digital solution provider enabling businesses to intelligently connect data, assets, and people, has successfully demonstrated a Generative Artificial Intelligence (GenAI) large language model (LLM) running on Zebra handheld mobile computers and tablets without needing connectivity to the cloud.<\/p>\n\n\n\n

This breakthrough empowers Zebra partners and customers to unlock exciting productivity gains that will shape the future of work across industries from retail to warehouse and logistics to hospitality and healthcare. On-device execution of GenAI LLMs has the potential to empower front-line workers with new capabilities so they can deliver new outcomes for their end customers.<\/p>\n\n\n\n

On-device AI can offer additional personalization as well as enhanced privacy and security as data remains on the device. It also drives faster performance and lower costs as GenAI searches on the cloud can be expensive. A whitepaper<\/a> published by Qualcomm Technologies, Inc. suggests that GenAI-based search cost per query is estimated to increase by ten times compared to traditional search methods. By removing the need to utilize the cloud, costs can be reduced.<\/p>\n\n\n\n

\u201cZebra\u2019s devices are powerful platforms with cutting-edge software and AI models which we\u2019re driving forward with our partner ecosystem to solve customer challenges and add value,\u201d said Tom Bianculli, Chief Technology Officer, Zebra Technologies. \u201cWe\u2019re taking GenAI to the mobile edge on-device and applying it to areas such as voice AI, computer vision, and machine vision software powered by deep learning as well as task and workflow software using orchestrated AI.\u201d<\/em><\/p>\n\n\n\n

Docker with Neo4j, LangChain, and Ollama Launches New GenAI Stack for Developers<\/strong><\/p>\n\n\n\n

Docker, Inc.\u00ae<\/a>\u00a0together with partners\u00a0Neo4j<\/a>,\u00a0LangChain<\/a>, and\u00a0Ollama<\/a>\u00a0announced a new GenAI Stack designed to help developers get a running start with generative AI applications in minutes. Eliminating the need to search for and cobble together and configure technologies from different sources, the GenAI Stack is pre-configured, ready-to-code, and secure with large language models (LLMs) from Ollama, vector and graph databases from Neo4j, and the LangChain framework. Docker also announced its first AI-powered product,\u00a0Docker AI.<\/p>\n\n\n\n

\u201cDevelopers are excited by the possibilities of GenAI, but the rate of change, number of vendors, and wide variation in technology stacks makes it challenging to know where and how to start,\u201d said Docker CEO Scott Johnston. \u201cToday\u2019s announcement eliminates this dilemma by enabling developers to get started quickly and safely using the Docker tools, content, and services they already know and love together with partner technologies on the cutting edge of GenAI app development.\u201d<\/em><\/p>\n\n\n\n

Apica Announces Generative AI Assistant For Ascent Platform<\/strong><\/p>\n\n\n\n

Apica<\/a>, a leader in data management and active observability, announced the general availability of its Generative AI Assistant for the Apica Ascent Platform. The first functionality introduced since Apica acquired Logiq.ai in August, Apica delivers advanced artificial intelligence capabilities to streamline and enhance data management worldwide. Apica is the first data fabric company to add a generative AI assistant into the data operations process.<\/p>\n\n\n\n

The Apica Ascent platform gives users limitless storage, unified data pipeline control, and comprehensive insights at the lowest cost on the market. With the introduction of the Generative AI Assistant, Apica takes a significant step forward in simplifying and automating data management, enabling faster and more efficient delivery of high-quality contextualized data.<\/p>\n\n\n\n

\u201cWe are thrilled to integrate Generative AI into the Apica Ascent Platform and bring targeted capabilities that help reduce toil and improve productivity for our customers,\u201d said Ranjan Parthasarathy, Chief Strategy Officer (CSO) at Apica. \u201cThis marks a significant milestone in our mission to simplify data operations and give our customers much-needed relief over data growth, sprawl, complexity, and various challenges. By harnessing the power of artificial intelligence, we empower organizations to take full advantage of their data and get the most out of the applications they most care about.\u201d<\/em><\/p>\n\n\n\n

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Welcome to the Generative AI Report round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We\u2019ve been receiving so many cool news items relating to applications and deployments centered on large language models (LLMs), we thought it would be a timely service for readers to start a new channel along these lines. The combination of a LLM, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating. The field of AI is accelerating at such fast rate, we want to help our loyal global audience keep pace.<\/p>\n","protected":false},"author":37,"featured_media":32680,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,115,182,1323,180,67,268,56,1],"tags":[437,1245,1248,95],"acf":[],"yoast_head":"\nGenerative AI Report \u2013 10\/16\/2023 - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2023\/10\/16\/generative-ai-report-10-16-2023\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Generative AI Report \u2013 10\/16\/2023 - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"Welcome to the Generative AI Report round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. 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