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’ve 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.
Nucleus.ai founders emerge from stealth and demonstrate that Big Tech companies aren’t the only ones building large language models
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.
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’s 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.
Alteryx Launches New Alteryx AiDIN Innovations to Fuel Enterprise-wide Adoption of Generative AI
Alteryx, Inc. (NYSE: AYX), the Analytics Cloud Platform company, announced new Alteryx AiDIN innovations, including AI Studio, one of the industry’s first deployment-agnostic interfaces that is purpose-built for no-code users to leverage generative AI. Nearly 90 percent of companies currently 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.
“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.”
Zip Introduces Generative AI Suite That Brings New Competitive Advantages to Finance and Procurement Teams
Zip, 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.
The new AI capabilities eliminate 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.
“Generative 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,” said Rujul Zaparde, CEO and co-founder of Zip. “Our ability to anticipate our customers’ needs is core to Zip’s 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’re 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.”
Pump Launches PumpGPT to solve AWS business support challenge
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, cloud spend manager Pump has launched PumptGPT the first GPT-powered AI AWS support tool trained on a customer’s own cloud environment.
Spandana Nakka, CEO of Pump 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.”
SnapLogic Leverages Amazon Bedrock to Make Anthropic’s Model Claude Available in SnapGPT
SnapLogic, a leader in generative integration, announced it is working with Amazon Web Services (AWS) to expand the capabilities of SnapGPT, SnapLogic’s generative integration interface. As part of this collaboration, SnapLogic will make Anthropic’s 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.
SnapLogic introduced SnapGPT, 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.
“SnapLogic is committed to providing our customers with the most advanced language models available, and our work with Amazon Bedrock and the integration of Anthropic’s model Claude 2 into SnapGPT is a testament to that commitment,” said Jeremiah Stone, CTO of SnapLogic. “This 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.”
Writesonic Unleashes Botsonic: A New Era of AI-Powered Customer Interaction
Writesonic, 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 – including OpenAI’s GPT-4 – 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.
“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. “Powered 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.”
UiPath Announces Autopilot™ to Make AI at Work a Reality
UiPath (NYSE: PATH), a leading enterprise automation software company, announced its platform’s latest artificial intelligence (AI) features with Autopilot™, an integration of Generative AI, Specialized AI, and automation that allows any user to automate work fast using natural language.
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.
“By taking a user’s 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 ‘one-click digital transformation’ for organizations by taking automated action,” said Graham Sheldon, Chief Product Officer at UiPath. “UiPath 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.”
Xero unveils new GenAI-driven search helping customers get answers faster
Xero, the 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 Coveo and powered by GenAI, generated answers are available in Xero Central – Xero’s customer support and learning site.
The use of GenAI-driven search in Xero Central leverages Coveo’s 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’s extensive support content articles, written by the Xero team. Customers get the information they need faster, as they don’t 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.
Nigel Piper, Executive General Manager – Customer Experience at Xero said: “Xero 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’s really about making it as simple and intuitive as possible for customers – whether they’re 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’re 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.”
Portal26 Announces the General Availability of its Generative AI Visibility and AI TRiSM SaaS Platform
Portal26, the Silicon Valley-based tech start-up formerly known as Titaniam, announced the general availability of its breakthrough Generative AI (GenAI) Visibility and AI TRiSM (Artificial Intelligence (AI) Trust, Risk, and Security Management) SaaS Platform.
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. The platform also features AI security that enables the secure and responsible creation of AI models. The company also continues to offer core data security and encryption capabilities through its Security Vault and Secure Search Plug-in and Cloud Storage Proxies.
“Almost every GenAI program is new. It’s 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,” said Arti Raman, CEO and Founder of Portal26. “You can’t manage what you can’t 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.”
Contentful Announces New Products and Capabilities for the Contentful® Composable Content Platform to Intelligently Accelerate Creativity of Digital Teams
Contentful, a leading composable content platform for digital-first business, announced 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.
In today’s 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.
“Generative 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,” said Steve Sloan, CEO of Contentful. “At 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.”
Balancing Efficiency with Employee Care: MakeShift Unveils ShiftMate AI to Modernize Workforce Scheduling
MakeShift, renowned for its award-winning cloud employee scheduling and time-tracking platform, announced the launch of ShiftMate AI, 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.
ShiftMate AI infuses MakeShift technology with Ikigai Labs’ unparalleled generative AI for tabular data capabilities and OpenAI’s 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.
“The modern workforce presents a challenging dichotomy for healthcare and retail, said Adam Greenberg, MakeShift CEO. “Critical 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.”
DataRobot Announces Generative AI Offering
DataRobot, a leader in Value-Driven AI, today announced a new generative AI offering, 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.
“We’ve 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,” said Jay Schuren, Chief Customer Officer, DataRobot. “With 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.”
Dialpad Launches DialpadGPT, the First Generative AI Built for Enterprises of All Sizes
Dialpad, Inc., a leading AI-Powered Customer Intelligence Platform, announced the launch of DialpadGPT – 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.
“LLMs are only as accurate and strong as the data they are trained on,” said Dan O’Connell, Chief Ai & Strategy Officer at Dialpad. “DialpadGPT was purpose-built for the enterprise, and addresses businesses’ 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 – all at a lower cost than existing LLMs. AI has been at the heart of Dialpad’s business for more than five years, and we’re excited to bring such a transformative tool to market.”
Betterworks Announces New Generative AI Capabilities to Help Make Managers More Effective
As the world grapples with the demands of an evolving workplace, Betterworks has 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.
“Generative 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,” said Doug Dennerline, chief executive officer of Betterworks. “We’re 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 — 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.”
Zebra Technologies and Qualcomm Demonstrate GenAI on Mobile Devices
Zebra Technologies Corporation (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.
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.
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 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.
“Zebra’s devices are powerful platforms with cutting-edge software and AI models which we’re driving forward with our partner ecosystem to solve customer challenges and add value,” said Tom Bianculli, Chief Technology Officer, Zebra Technologies. “We’re 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.”
Docker with Neo4j, LangChain, and Ollama Launches New GenAI Stack for Developers
Docker, Inc.® together with partners Neo4j, LangChain, and Ollama announced 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, Docker AI.
“Developers 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,” said Docker CEO Scott Johnston. “Today’s 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.”
Apica Announces Generative AI Assistant For Ascent Platform
Apica, 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.
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.
“We 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,” said Ranjan Parthasarathy, Chief Strategy Officer (CSO) at Apica. “This 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.”
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