In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.
DataRobot Unveils New AI Platform, Ushering in the Era of Value-Driven AI
DataRobot announced the release of DataRobot AI Platform 9.0, along with deeper partner integrations, AI Accelerators, and redesigned service offerings, all centered on helping organizations derive measurable value from their AI investments. The DataRobot AI Platform allows customers to leverage Value-Driven AI, a unique and collaborative approach that improves how organizations run, grow and optimize their business. With the new and expanded platform capabilities announced today, DataRobot is enhancing the key features and functionalities trusted by global organizations and relied on by nearly half of the Fortune 50.
“AI has the potential to enhance every aspect of business transactions and human interactions to improve how we live and work,” said Debanjan Saha, CEO of DataRobot. “Since our founding, we have been 100% focused on helping enterprises realize measurable value from AI by offering an AI lifecycle platform designed to solve business problems, and the applied AI expertise to help customers envision what’s possible – and achieve it.”
InMoment Launches CX Industry’s First Innovations Leveraging ChatGPT in the XI Platform to Solve Real-World Business Challenges for Clients
InMoment®, a leading provider of Experience Improvement (XI)™ solutions, announced innovations incorporating ChatGPT capabilities, powered by technology from ChatGPT creator OpenAI into its XI Platform–making the company the first customer experience vendor to do so.
“We’ve all seen recent headlines around personal use of ChatGPT, but what isn’t being talked about nearly enough is the new opportunities generative AI brings to enterprise software applications worldwide,” said Sandeep Garg, Chief Product Officer at InMoment. “At InMoment, we immediately identified the opportunity to leverage the power of this technology to solve real-world business problems for our clients.”
Freshworks Embeds Generative AI to Help Customer Support, Sales and Marketing Teams Improve Quality and Efficiency
Freshworks Inc. (NASDAQ: FRSH) announced new GPT-based conversational enhancements to Freshworks’ natively-built AI powered assistant, Freddy. Using OpenAI’s ChatGPT and underlying large language models, the latest generative AI capabilities of Freddy help a wide range of customer-facing professionals work faster, smarter, and more effectively. Customer service agents respond quickly to customers and employees in the right tone, marketers compose more compelling copy in a fraction of the time, and salespeople craft powerful emails that hook in a prospect.
“We’ve made significant investments in our AI strategy over the last five years to enhance agent productivity and their customers’ experience. The newest Freddy updates using the latest in GPT large language models bring even more value to these experiences,” said Prakash Ramamurthy, Chief Product Officer at Freshworks. “We are fundamentally transforming how Freshworks customers will interact with our products through more conversations and fewer clicks.”
Yugabyte Supercharges Developer Productivity While Boosting Performance with Enhancements to YugabyteDB Managed
Yugabyte, a leading open source distributed SQL database company, announced key updates to YugabyteDB Managed, including the launch of the YugabyteDB Managed Command Line Interface (CLI). The new CLI delivers a better developer experience by increasing productivity and allowing users to enjoy the benefits of automation without needing to learn new skills. Additionally, new integration with AWS PrivateLink, 2x faster scaling, and over 125 new observability metrics further enhance overall security and operations. YugabyteDB Managed CLI includes support for multiple platforms, open-source availability, easy installation and upgrading through the Homebrew package manager, built-in documentation, and auto-completion for commands and flags. The update provides automation for developers while allowing them to use their trusted and familiar environments.
Amplitude Announces New Capabilities to Help Data Leaders Scale Experimentation
To better support data leaders as they improve their organization’s experimentation practices, digital analytics leader Amplitude, Inc. (Nasdaq: AMPL) announced an expanded suite of product features for its world-class experimentation offering, Amplitude Experiment.
Product and data teams leverage experimentation to continually test hypotheses for ways to acquire, engage and retain their users. While data leaders want to drive innovation within their organization, many find their experimentation programs blocked by user identity issues, inconsistent metrics, long testing periods, and duplicative data sets. Built upon Amplitude’s Digital Analytics Platform and natively integrated with Amplitude Analytics, Amplitude Experiment helps data leaders unite analytics, experimentation, and new program management capabilities to scale their experimentation programs faster and further.
“Leading organizations have identified how to scale experimentation effectively, consistently measuring the impact of every feature they ship as they aim to build better products,” explained Justin Bauer, chief product officer at Amplitude.
New SoundHound Chat AI Platform Uses Breakthrough Technology To Offer Powerful Voice Assistant To Businesses and Brands
SoundHound AI, Inc. (Nasdaq: SOUN), a global leader in voice artificial intelligence, launched SoundHound Chat AI, a voice platform that gives brands and their customers access to the most powerful multimodal voice assistant available today. Bringing together voice-enabled Generative AI and the power of a best-in-class voice assistant, SoundHound Chat AI allows any business to build an incredible, next-generation voice experience for its users.
“SoundHound Chat AI ushers in a new phase of voice-enabled, conversational AI that used to only exist in science fiction,” says Keyvan Mohajer, CEO and Co-Founder of SoundHound. “By combining the power of software engineering and machine learning with Generative AI, we can finally deliver the digital assistant experience users have been desiring for decades.”
New Espressive Barista Large Language Model (LLM) Gateway™ Delivers a Safe and Scalable Path to ChatGPT for the Enterprise
Espressive, a pioneer in automating digital workplace assistance, announced the new Espressive Barista Large Language Model (LLM) Gateway™, enabling its virtual support agent (VSA), Espressive Barista, to offer enterprises safe and responsible use of LLMs like ChatGPT. Espressive Barista serves as a gateway to LLMs that organizations can utilize to enforce policies protecting privacy, such as not permitting the sharing of source code or personal identifiable information (PII), as well as providing the ability to “turn off” LLM access for areas such as Epic Systems in healthcare organizations or HR content. The newly expanded Espressive Experience Selector™ will prioritize automation and customer content versus a generative response to ensure employees follow best practices recommended by their organizations for compliance. Additionally, new advancements in the Barista Control Center combine conversational AI, employee context, automation, and prompt engineering to unlock the full power of ChatGPT and other LLMs while delivering even faster time to value with an improved employee experience.
“Although CIOs see ChatGPT and other LLMs as extremely promising, they are struggling with the potential loss of PII or corporate secrets from employees sharing this information in their interactions,” said Pat Calhoun, founder and CEO of Espressive. “Enterprises, such as JPMorgan Chase, have gone as far as denying access to ChatGPT services from corporate resources. With systemic controls and support for company-specific policies, customers can unlock the full power of LLM services in a secure manner, without having to worry about the disclosure of sensitive information.”
Nuance and Microsoft Announce the First Fully AI-Automated Clinical Documentation Application for Healthcare
Nuance Communications, Inc., a Microsoft Company, announced Dragon Ambient eXperience (DAX™) Express, a workflow-integrated, fully automated clinical documentation application that is the first to combine proven conversational and ambient AI with OpenAI’s newest and most capable model, GPT-4. Extending the proven Dragon Medical portfolio of solutions and building on the market-leading DAX ambient solution launched in 2020, DAX Express is the next milestone in Nuance’s long-standing mission to reduce administrative burden and empower clinicians to spend more time taking care of patients and less time on paperwork. DAX Express makes available world-class AI to more than 550,000 Dragon Medical users, is enhanced by GPT-4, and amplified by the power of Microsoft Azure.
“Nuance and Microsoft came together with the goal of helping to digitally transform healthcare, and today we are marking the next step forward in the ongoing evolution of AI-powered solutions for overburdened care providers,” said Mark Benjamin, CEO of Nuance. “We’ve taken the power and advanced reasoning capabilities of GPT-4 and integrated it into our proven outcomes-focused AI technologies in a tested and responsible way. Our state-of-the-art blend of conversational, ambient, and generative AI will accelerate the advancement of the care delivery ecosystem beyond what Nuance or Microsoft could have achieved separately – expanding our comprehensive portfolio of solutions that fulfill our vision to improve care quality and support enhanced outcomes for generations to come.”
One AI Unveils Generative AI Solution for CRMs, Empowering CRM Providers and Clients to Enhance Customer Service and Engagement
One AI, a platform that enables businesses to utilize the world’s best generative AI in their products and services, announced its AI solution for CRM companies and enterprise customers. One AI’s multilingual AI capabilities can be tuned to meet specific customer needs and integrated into any existing CRM system, in days. The solution will help organizations maximize lead conversion, enhance customer engagement and increase their revenue.
“It’s like having an additional 1,000 relentless, diligent, employees on your team, analyzing every customer interaction 24/7, at a fraction of the cost,” said Amit Ben, co-founder and CEO, One AI. “It is what businesses need today to stay competitive and what customers will come to expect from any product or service in the near future.”
ASRock Rack GPU Server Platform Lineups Are Now Qualified for NVIDIA L4 Tensor Core GPUs
ASRock Rack, an innovative server leader, announced its comprehensive GPU server platforms are now qualified to support NVIDIA® L4 Tensor Core GPUs, delivering universal acceleration and energy efficiency optimization for AI, virtual workstations, deep learning and graphics applications in the enterprise, in the cloud, and at the edge.
The NVIDIA L4 Tensor Core GPU, powered by the NVIDIA Ada Lovelace architecture, is a universal, energy-efficient accelerator designed to meet numerous AI needs. With the NVIDIA accelerator and its full-stack AI platform, the L4 GPU delivers higher AI performance and energy efficiency, compared to the previous generation. ASRock Rack GPU systems, such as 1U4G-ROME, 2U4G-ROME/2T, 4U8G series, and 4U10G series, are all qualified for NVIDIA L4 GPUs, enabling them to provide exceptional performance to serve extensive AI workloads.
AnswerRocket Introduces Max, an AI Assistant for Data Analysis
AnswerRocket, an innovator in delivering augmented analytics to the enterprise, announced the launch of Max, a revolutionary conversational AI assistant designed to help businesses explore, analyze, and uncover insights from their data. Max combines AnswerRocket’s augmented analytics platform with OpenAI’s GPT-4 large language model to deliver a simple conversational AI experience for insights discovery. With Max, users can ask natural language questions and get back accurate insights and visualizations in seconds. GPT-4’s advanced language processing capabilities allow Max to understand and respond to a wide range of queries, making it easier than ever before to get the information they need.
“The record-breaking adoption of ChatGPT is driving a paradigm shift in how business users interact with software. This shift aligns with AnswerRocket’s mission to empower business teams to quickly get answers from their data,” said Alon Goren, CEO at AnswerRocket. “Powered by GPT-4, Max makes it easy for everyone to understand and act on data, no matter their level of technical expertise.”
CallTrackingMetrics Introduces AskAI Feature Powered by ChatGPT to Elevate Customer Engagement
CallTrackingMetrics, a global conversation analytics company, announced the launch of its newest feature, AskAI. Powered by Open AI’s ChatGPT, the conversation intelligence tool is designed to unlock endless creative approaches to extracting value from customer conversations.
“As businesses face increasingly challenging economic times, it’s essential to find ways to work smarter, not harder,” said Todd Fisher, co-founder and CEO of CallTrackingMetrics. “With Ask AI, organizations can leverage the power of automation to do just that. We’re thrilled to provide this new feature that allows organizations to make data-driven decisions to optimize efficiency, drive revenue growth and enhance customer experiences.”
Bria to Offer Its Comprehensive, Responsibly Sourced, Generative AI Visual Content Solution for Enterprises on NVIDIA AI Foundations
Bria, a leading enterprise-grade responsible generative AI visuals company, announced that it is offering its advanced generative AI technology on NVIDIA Picasso, part of the new NVIDIA AI Foundations cloud service. Bria will leverage the NVIDIA Picasso service to optimize inference, leading to reduced latency and an enhanced user experience for its generative AI tools that utilize responsibly sourced datasets. This will enable businesses, marketers, and developers who use Bria’s API or AI-powered content generator to achieve faster, more cost-effective results and significantly enhance their scalability.
“Hosting our solution on NVIDIA AI Foundations will provide an enhanced experience to our customers and support businesses’ evolving visual and marketing needs,” said Dr. Yair Adato, co-founder and CEO of Bria. “By combining NVIDIA’s expertise with our unique generative AI platform, our integrated solution will equip marketing teams, agencies and product developers with the tools they need to rapidly scale their output.”
Altair Announces Altair RapidMiner: One Converged Platform for Data Analytics and Artificial Intelligence
Altair (Nasdaq: ALTR), a global leader in computational science and artificial intelligence (AI), announced the rebrand of its entire data analytics and AI suite as Altair RapidMiner, uniting all data analytics technology into one platform. Following the acquisitions of RapidMiner and World Programming, the Altair RapidMiner platform offers comprehensive end-to-end solutions from data ingestion and modeling to operationalization and visualization. Additionally, the platform is now available via Altair Units, delivering a new generation of Frictionless AI capabilities to customers.
“Altair RapidMiner removes barriers to effectively connect three of an organization’s most important assets: data, people, and processes. With an unrivaled and complete set of tools to transform organizations, we are paving the way to a frictionless future,” said Sam Mahalingam, chief technology officer, Altair. “The platform enables users of all skill levels to accelerate projects from idea to production, modernizes legacy environments, and caters to enterprise needs with desktop and cloud offerings. We meet you where you are and evolve with your company, wherever you go in the future.”
Kyndryl Unveils Data and AI Console to Unify and Simplify Data Management for Customers
Kyndryl (NYSE: KD), the IT infrastructure services provider, announced availability of the Kyndryl Data and AI Console, a new solution that integrates data operations and provides customers a better way to facilitate seamless data flows and reliable data delivery to enable faster, more informed business decisions.
Built with a unified service plane, the Kyndryl Data and AI Console provides organizations a dashboard that offers a unified view into their data lifecycle and data estate, increasing the health of their data pipeline and data observability. With these features, organizations can now monitor and manage their data from the point of creation to the time of consumption and gain support in proactively mitigating data risks and improving data governance by predicting irregularities and data incidents. The console also allows organizations to have data catalogs, automated tagging and the ability to trace data lineage, providing the entire enterprise with access to high quality data, while also improving reliability and trust.
“Organizations want to use data insights in their decision making more, and the Kyndryl Data and AI Console helps make that desire a reality,” said Nicolas Sekkaki, Applications, Data and AI global practice leader for Kyndryl. “The Kyndryl Data and AI Console enables them to run more efficiently by allowing a unified view of their data — and its lineage and lifecycle — through one solution.”
Coveo Announces Industry-first Relevance Generative Answering Capability Into its Coveo Relevance Cloud™ AI Platform
Coveo (TSX:CVO), an AI platform that makes every digital experience relevant, 1:1 personalized and profitable, announced Coveo Relevance Generative Answering. This new Generative AI question answering capability combines Large Language Models (LLMs) on top of the leading secure unified indexing capabilities of Coveo’s AI platform. This makes generative answering using LLMs applicable within enterprises, where security, privacy, real-time sources of truth, relevance and factuality are all key imperatives.
“Large Language Models (LLMs) such as ChatGPT and alternatives have taken the world by storm. Despite their current shortcomings for use in the enterprise (misinformation, hallucinations, no personalization, expensive training costs, lack of privacy and security, and questionable ethics, among others), we anticipate that demand for Generative AI question answering experiences will become ubiquitous in every digital experience, including in commerce and customer service. In the enterprise, we believe that search and generative question-answering need to be integrated, coherent, based on current sources of truth with compliance for security and privacy, providing relevant answers every time,” said Laurent Simoneau, President, CTO and Co-Founder of Coveo. “We are confident that Coveo’s very unique position to leverage our unmatched expertise in AI and ability to build on the power of our Coveo AI platform to make these LLM capabilities enterprise ready.”
Daasity Delivers New Marketing Attribution Models to Help Consumer Brands Fully Analyze All Upstream Channels, Optimize Spend
Daasity, the comprehensive, customizable, and extensible ELT+ data solution built for omnichannel consumer brands, announced its expanded attribution functionality that gives merchants deeper insight into how their marketing tactics are performing. Using Daasity’s attribution models, marketers are better able to assess which touchpoints and channels should receive credit for a conversion and how their team can best optimize spend.
“Daasity’s new attribution functionality provides deeper insight into brand marketing performance and enables retailers to make better decisions on how to allocate spend,” said Dan LeBlanc, CEO and co-founder of Daasity. “Armed with a more granular understanding of the customer journey, teams not only get what they need to make more nuanced spending decisions in their marketing and advertising channels, but they’re able to accelerate comprehensive analytics to become truly data-driven organizations.”
DATA PIPELINE AUTOMATION LEADER ASCEND.IO UNVEILS ‘ASCEND FOR DATA MESH’
Ascend.io, a leader in data pipeline automation, announced the integration of new Data Mesh capabilities in the company’s Data Pipeline Automation Platform, enabling businesses for the first time to share and link data across multiple data clouds from a single console. The Ascend Data Pipeline Automation Platform is a single platform with intelligence to detect and propagate change across a company’s ecosystem, ensure data accuracy, and quantify the cost of its data products. Pipelines powered by Ascend seamlessly ingest, transform, and share data for the business, across the entire end-to-end journey.
“The reality is, the vast majority of companies now use multiple cloud data platforms, and the larger they get, the more likely that becomes,” said Ascend Founder and CEO Sean Knapp. “This results in a lack of end-to-end visibility and leverage across teams, and lost lineage. Ascend for Data Mesh pulls these fragmented silos together and companies that are rapidly scaling can continue reaping the same benefits of Ascend’s Data Pipeline Automation Platform regardless of how many teams or compute engines are involved. A new team and data cloud can be added in less than a minute, and engineers can be contributing to the mesh in less than three minutes”
Akkio Launches Chat Explore To Transform the Way Analysts Explore, Use, and Report on Data
Akkio, the company revolutionizing AI for analysts, has announced the launch of Chat Explore (hyperlink forthcoming), a groundbreaking new feature for exploratory data analysis. Chat Explore enables analysts to understand their data, find actionable insights, and report on business outcomes 10x faster than traditional methods. Through a chat interface powered by OpenAI’s GPT4, analysts can easily and quickly ask questions, get detailed analysis, and create live, custom charts and reports.
“Chat Explore is a game changer for analysts who have been struggling for far too long with traditional tools,” said Jonathon Reilly, Chief Operating Officer and Co-Founder of Akkio. “Whether you’re a business analyst looking to identify which marketing campaign is driving the most revenue or a supply chain manager looking to find operational inefficiencies, Chat Explore is a powerful tool that can help you quickly analyze and make sense of your data—ultimately driving revenue, cost savings, and improved customer experiences.”
Twilio Supercharges Customer Profiles for Data Warehouse Portability and Extensibility
Twilio (NYSE: TWLO), the Customer Engagement Platform that drives real-time, personalized experiences for today’s leading brands, announced the introduction of Segment Unify. Unify is the real-time identity resolution solution that includes Profiles Sync, and offers access to Reverse ETL – also launching today. With Segment Unify, businesses can easily merge the complete history of each customer into a single unified profile, freely sync Segment’s identity-resolved customer profiles to their data warehouse, and activate these complete or ‘golden’ profiles in their customer experience tools of choice, including Twilio Engage and Flex. Ultimately, this empowers businesses to drive down acquisition costs and to increase customer lifetime value, by delivering hyper personalized engagement, campaigns and communications.
“By unlocking the power of the identity-resolved Segment profile for data warehouses, we’re removing the hurdles that have long held back businesses and data teams from providing the deeply personalized experiences that today’s consumers demand,” said Kevin Niparko, VP of Product at Twilio. “Niche startups may offer to move data around with single features, but without ‘golden profiles’ or identity resolution, businesses run the risk of using an incomplete package. Elsewhere, brands are finding themselves cornered by legacy vendors who provide limited flexibility outside of their own systems. Today, we’re the only CDP making it possible for data teams to unify, move, and activate customer profiles at scale and in one single, open and extensible platform.”
Tellius Announces Copilot, GPT-Integrated Capabilities to Breakthrough Barriers to Self-Service Analytics
Tellius, the AI-powered decision intelligence platform, announced Copilot, a new set of GPT-integrated product enhancements that leverage OpenAI’s large language models. The new features automatically generate natural language synonyms, code improvements, and enhanced data stories, adding to the company’s existing AI-powered analytics capabilities to further enable every insights-driven organization to rapidly implement and scale self-service analytics.
“Applying AI to data analytics has always been in our DNA, and integrating generative AI and LLMs is another step in eliminating friction in the analytics workflow and enabling customers to take their self-service analytics and data literacy initiatives to the next level,” said Ajay Khanna, Founder and CEO of Tellius. “Copilot is a natural extension of the Tellius platform to further democratize data access and speed up the journey from data to decisions.”
Kobai Launches Saturn Knowledge Graph to Query Data at Lakehouse Scale
Kobai, the codeless knowledge graph platform, announced the availability of Saturn, the industry’s first knowledge graph to harness the scale, performance, and cost efficiency of the Lakehouse architecture. Saturn extends the capabilities of the Kobai Platform, integrating every use case and function into a single semantic layer.
“Our mission is to allow both business and technical users to quickly answer their own questions using their own terminology, without writing complex code,” said Parag Goradia, co-founder and CEO of Kobai. “By bringing lakehouse scale to the knowledge graph, Saturn empowers organizations to apply knowledge graphs as a foundational piece of their semantic data layer.”
Tecton Releases Notebook-Driven Development, Providing the Fastest Path for Data Teams to Build Batch, Streaming and Real-Time Features for Machine Learning and to Deploy Them in Production Quickly And Reliably
Tecton, the leading machine learning (ML) feature platform company, announced version 0.6 of its flagship feature platform. The release introduces new capabilities that accelerate the process of building production-ready features and expands support for streaming data.
“We’re excited to be releasing the latest version of Tecton,” said Mike Del Balso, co-founder and CEO of Tecton. “This latest release makes it simpler than ever to build high quality features to power real-time ML applications. Tecton now integrates more deeply into the data science workflow by allowing users to develop and test production-ready features directly in notebooks using Tecton’s feature engineering framework. We’ve also improved our streaming capabilities to process and serve very fresh data, ultimately resulting in higher model accuracy and better business outcomes for our users.”
PhotoStudy Maker GotIt! Announces MathGPT Platform for Content Publishers and Educators with GPT-based Personalized AI for Interactive Text, Audio, and Video Learning
GotIt!, the publisher of PhotoStudy, the first on-demand micro-tutoring network developed by Hung Tran and the GotIt! team in 2015 at Peter Relan’s YouWeb Incubator, announced that the recently announced MathGPT project will be broadened to a platform for a variety of applications in Math education. These applications include next generation textbook publishing and video content publishing, personalized tutoring, teacher assignments and assessments, and even classroom teaching. They will be based on OpenAI’s recently announced ChatGPT API plus a layer of GotIt!’s proprietary AI models, training techniques, and human-in-the-loop network for extremely accurate and engaging content.
“When we first announced MathGPT, we envisioned a personalized tutoring application based on ChatGPT, but the response from the ed-tech industry was overwhelming, with requests for a platform for multiple applications. So we are delighted to announce the MathGPT Platform,” said Peter Relan, Chairman of GotIt!. “We are emphasizing access to any type of learning for any learner in the world, by letting them interact with any appropriate persona, historical or living, with appropriate credits or licensing, of course. We realize that the most engaging learning occurs when learners choose their mode of learning, with a teaching persona of their choice. In addition, we are going to support the textbook industry and the video production industry for content. Additionally, we are in conversations with teachers and school administrators about teacher tools as well to complete the MathGPT Platform.”
Software AG launches webMethods.io ChatGPT API Connector to leverage Generative AI in core business systems
Software AG (Frankfurt MDAX: SOW), has launched a new ChatGPT API Connector for its webMethods.io integration platform. This will allow companies to integrate OpenAI’s new generative AI tool into their business processes, to enhance a number of functions including customer services.
Any company with multi-stage or customer-relevant processes — such as the stages in a retailer’s product fulfillment and delivery cycle — can use ChatGPT to help send out updates. Companies in industries from retail to banking to logistics can rapidly decrease the time taken to deliver fully personalized updates to explain any delays or problems. For example, manufacturers are finding that the digital experience is now a priority for partners and customers, as they demand faster and more efficient access to products and services.
Even when data and systems are connected, personalization is often limited to the customer’s name and order details. Now ChatGPT brings in a greater understanding of the status of a process and the ability to automatically generate personalized updates — in a hybrid human/machine approach — to be more empathetic than standard responses.
“ChatGPT has become a very hot topic, and businesses are looking at how they can make the most of it,” said Dr. Stefan Sigg, chief product officer at Software AG. “While there are seemingly endless possibilities, we’re happy to bring some very practical options to life right away. Companies that can move from generic communication to genuinely personalized messages will find that they can deliver a higher level of service to their customers. At the same time, we have seen over the last year or two rapid acceleration in the levels of technical debt, the management of which can be helped with ChatGPT.”
CelerData Brings New Level of High-Performance Analytics to the Data Lakehouse
CelerData, a unified analytics platform for the modern, real-time enterprise, announced the latest version of its enterprise analytics platform, CelerData Version 3. CelerData is built on top of the open source project StarRocks, the fastest MPP SQL database – recently donated to the Linux Foundation.
“The data lakehouse has added critical capabilities to the data lake architecture by introducing ACID control, table formats and data governance,” said James Li, CEO, CelerData. “However, analytics capabilities on the lakehouse are still limited and cost prohibitive. Most query engines struggle to support interactive ad-hoc queries, are not able to support real-time analytics, and fall apart when facing a large number of concurrent users.”
New Relic Launches Industry’s First OpenAI GPT Observability Integration
New Relic (NYSE: NEWR), the all-in-one observability platform for every engineer, announced a first-of-its-kind machine learning operations (MLOps) capability that allows engineering teams to monitor applications built with OpenAI’s GPT Series APIs. With just two lines of code, engineering teams can monitor OpenAI completion queries while simultaneously tracking performance and cost metrics in real-time in a single view with New Relic. This new integration allows New Relic to ingest raw OpenAI data and helps companies leverage the power of emerging AI technologies like OpenAI’s ChatGPT to accelerate innovation and business goals while balancing considerations to cost. This integration expands New Relic’s catalog of supported data and extends New Relic’s access to a wider audience of developers. Engineers can quickly deploy the OpenAI quickstart from New Relic Instant Observability.
“This is an exciting time for companies who are embracing GPT and building modern applications with Generative AI,” said New Relic Chief Growth Officer and GM of Observability Manav Khurana. “Observability is a game changer when it comes to helping companies extract value from GPT. We are making it so that any engineer using GPT APIs can easily monitor their cost and performance with easy set-up and at no cost. This aligns with our mission to put the power of observability into the hands of every engineer.”
Independent Cloud Computing Leader Vultr Announces Availability of NVIDIA H100 Tensor Core GPU and Partnerships with Domino Data Lab and Anaconda to Accelerate Data Science at Scale
Amid the rapidly growing demand for GPUs to power development, deployment, and scaling of artificial intelligence (AI) and machine learning, Vultr, the privately-held cloud computing company, announced availability of the NVIDIA HGX H100, NVIDIA’s ground-breaking new architecture for accelerated computing. Vultr also announced today a three-way strategic alliance with leading data science and machine learning operations platforms Anaconda Inc. and Domino Data Lab to simplify and accelerate the work of data scientists and machine learning operations (MLOps) engineers.
The NVIDIA HGX H100 joins Vultr’s other cloud-based NVIDIA GPU offerings, including the A100, A40, and A16, rounding out Vultr’s extensive infrastructure-as-a-service (IaaS) support for accelerated computing workloads. From generative AI, deep learning, HPC, video rendering, and graphics-intensive applications, to virtual and augmented reality (VR/AR) applications and more, Vultr’s robust GPU lineup extends its full range of affordable cloud computing solutions that make Vultr the ideal cloud infrastructure provider for AI and machine learning intensive businesses.
AI21 Labs Introduces Jurassic-2, the World’s Most Advanced Language Model
AI21 Labs, a startup aiming to fundamentally change the way people read and write using generative AI, released Jurassic-2 the world’s most customizable language model, together with five new APIs, making it even easier for organizations to build their own applications and services to scale.
“When we released Jurassic-1, we were the first company to offer open access to LLMs without any waiting list, allowing anyone to build textual generative AI apps,” said Ori Goshen, Co-CEO and Co-Founder of AI21 Labs. “The Jurassic-2 family of models represents the next leap forward and will enable developers and organizations to build text-based applications, faster, with state-of-the-art performance at a fraction of the cost. For those who don’t need all the capabilities for Jurassic-2 but still want to integrate generative AI into their websites, we also have new task-specific APIs to make our language models easily available to businesses and their needs.”
ThoughtSpot Integrates with GPT-3 to Launch Sage, a New AI-powered Search Experience for Analytics
ThoughtSpot, the AI-Powered Analytics company, announced a new integration with GPT-3, the popular large language model (LLM) from OpenAI, to make analytics accessible, trusted, and scalable through artificial intelligence. This includes the launch of ThoughtSpot Sage, a new search experience that combines LLMs like GPT-3 with ThoughtSpot’s patented search technology. With this combination, every employee, regardless of their skill level, can confidently use AI-Powered Analytics on even the largest, most complex data to ask and answer business questions, find accurate insights, and take action. ThoughtSpot Sage, currently in preview, currently supports GPT-3 with support planned for additional LLMs.
“As a company, we made three strategic bets about what would define the next leader in analytics. First, that business users would demand personalized, useful insights from their data. Second, that when data moves to the cloud, customers want flexibility and freedom to choose the best tool for their specific use case. Last, we bet that user experience would crown the next leader in analytics,” said Sumeet Arora, Chief Development Officer, ThoughtSpot. “While our customers have already shown us these were the right bets to make to deliver a differentiated product, LLMs like GPT-3 have made each of these even more important. They’ve supercharged the value of each of the areas we focused on, showcasing just how incongruent the previous decade’s data visualization tools are with paradigm-shifting technology. Large language models promise to make interacting and conversing with data easier than it has ever been before, but doing so in a way that’s trustworthy and actionable will require the kind of analytics platform we’ve spent a decade building. We promise to make those conversations meaningful, accurate, and actionable when it comes to analytics for our customers, partners, and the cloud ecosystem at large.”
TIBCO Offers New, Highly Immersive Analytics to Scale Data Science Across the Organization
TIBCO announced a series of enhancements to its analytics suite, delivering immersive, smart, and real-time analytics that empower customers to take action and benefit from faster, smarter insights. Game-changing updates to TIBCO Spotfire® and other scalable analytics solutions close the gap between insight and action, building on existing capabilities to accelerate time-to-decision and lower operations costs.
“Companies successful with digital programs use solutions that simplify data management and accelerate the analytics lifecycle,” said Matt Quinn, general manager, TIBCO, a business unit of Cloud Software Group. “Recent updates to our analytics products feature developer-friendly frameworks, a simple business user experience and a scalable deployment architecture. With these robust capabilities, we enable customers to identify insights and take actions in real time, resulting in rapid ROI across their digital journey.”
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