{"id":31781,"date":"2023-03-07T06:00:00","date_gmt":"2023-03-07T14:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=31781"},"modified":"2023-05-15T13:24:05","modified_gmt":"2023-05-15T20:24:05","slug":"insidebigdata-latest-news-3-7-2023","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/03\/07\/insidebigdata-latest-news-3-7-2023\/","title":{"rendered":"insideBIGDATA Latest News \u2013 3\/7\/2023"},"content":{"rendered":"
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In this regular column, we\u2019ll 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\u2019re in close touch with vendors from this vast ecosystem, so we\u2019re in a unique position to inform you about all that\u2019s 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.<\/p>\n\n\n\n

Kensho Technologies Launches a Natural Language Processing Solution that Conceptually Understands and Classifies Documents<\/strong><\/p>\n\n\n\n

Kensho Technologies<\/a>, a company of S&P Global, announced its newest Natural Language Processing (NLP) solution, Kensho Classify<\/a>. Classify derives value from vast amounts of text and documents by making content more discoverable, enabling analysis of text, smart search, content recommendations, and streamlined research and analysis. <\/p>\n\n\n\n

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“Classify capabilities are unprecedented, only requiring 30 data points to learn a new concept with three minutes of training time,” said Philip Taylor, Lead Product Manager at Kensho Technologies. “Classify is more accurate, faster, can handle larger payloads, and is easier to use than any other product on the market today. We’re particularly proud of Classify’s ability to benefit business users rather than extremely technical data practitioners. Stay tuned for more updates in 2023 on the Classify roadmap, including an intuitive user interface to make it even easier to operate, and integration into the Capital IQ Pro platform.”<\/p>\n<\/blockquote>\n\n\n\n

Yext Announces the First Content Management System (CMS) That Generates its Own Content<\/strong><\/p>\n\n\n\n

Yext, Inc.<\/a> (NYSE: YEXT), the Answers Company, announced the addition of Content Generation to its Knowledge Graph product. Yext believes that the Knowledge Graph<\/a> is the first content management system on the market that automatically and proactively generates its own content. The company has been running a year-long pilot with several customers and plans to officially launch Content Generation in March with Yext\u2019s Spring 2023 Release.<\/p>\n\n\n\n

Content Generation uses multiple large language models including GPT-3 and existing information from a customer\u2019s Knowledge Graph to automatically generate and suggest rich, business-specific content that is on-brand and aligned with writing styles or patterns found throughout an organization’s content library. Yext customers can use these features to effortlessly create descriptions, blog posts, biographies, FAQs, and more, automating what could otherwise be manual and resource-intensive content creation tasks.<\/p>\n\n\n\n

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\u201cContent is king in any digital experience. We\u2019ve seen time and time again that the more content you have, the better you perform across search engines, websites, mobile apps, and other digital touchpoints. However, many teams lack the in-house resources to produce high-quality content at scale,\u201d said Marc Ferrentino, President and Chief Operating Officer at Yext. \u201cWe set out to solve this problem for our customers. With Content Generation, organizations can leverage the latest generative AI to dramatically increase their team\u2019s efficiency and content output while enriching digital experiences wherever users engage with their business online.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Augmentir Expands its AI-based Connected Worker Platform with ChatGPT Foundational Technologies<\/strong><\/p>\n\n\n\n

Augmentir<\/a>, the provider of the AI-based connected worker solution, announced that it is expanding its AI platform to incorporate the foundational technologies underpinning ChatGPT. These new capabilities will improve the company’s existing True Productivity\u2122 and True Proficiency\u2122 offerings while accelerating the introduction of its True Engagement\u2122 offering. These three unique, patented capabilities enable industrial companies to thrive in this era of workforce disruption while safeguarding customer data and maintaining privacy.<\/p>\n\n\n\n

Augmentir’s platform has become the leading connected worker solution in the industrial sector, offering a wide range of out-of-the-box capabilities, connectors to business systems, and broad extensibility that enable manufacturers to digitize all their frontline operations, reducing onboarding time, and increasing workforce productivity. The platform’s AI-based tools, which include machine learning algorithms and natural language processing, help workers to access the right information at the right time and enable managers to optimize their workforce’s performance.<\/p>\n\n\n\n

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“We’re excited to be adding the foundational technologies of ChatGPT into our platform,” said Russ Fadel, CEO of Augmentir. “This will build on our experience of delivering AI-driven insights to industrial companies since 2019. We are uniquely positioned to bring these technologies to the market quickly, and in a manner that places our customers’ privacy and IP as a top priority. Adding the ability to communicate with the platform using natural language will make it even easier for our customers to access the information they need and engage with their colleagues. When combined with our existing AI-based features, this will further improve the overall efficiency and productivity of their operations, leading to better business outcomes.”<\/p>\n<\/blockquote>\n\n\n\n

Databook Unveils Strategic Relationship Management (SRM) Platform to Boost Enterprise Sales Productivity<\/strong><\/p>\n\n\n\n

Databook<\/a> unveiled its Strategic Relationship Management (SRM) platform to enable sellers to create, manage, and maintain strategic relationships at scale. With Databook, any seller, at any level, can instantly interpret complex financial data and market insights to auto-generate strategic account plans, sales materials, and narratives that speak to executive buyers. Now sales teams can quickly align around customer priorities and urgent needs from the very beginning, resulting in a dramatic increase in face-to-face meetings, larger deal sizes, expanded pipeline, and faster cycle times.<\/p>\n\n\n\n

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\u201cDatabook\u2019s SRM platform empowers sales teams to do their best work by bringing new value and a personal touch to every deal,\u201d said Anand Shah, CEO of Databook. \u201cUntil now, only a handful of people in a sales organization have been equipped to  position big ideas, speak to executive buyers, and prove how their solutions will improve financial and operational health. Instead, most sellers have relied on execution tools to scale – an approach that often results in spam, generic messages, and canned personalization that alienates executive buyers. Now with Databook, any seller can bring a compelling business POV to every account in their pipeline, deepening customer connections and dramatically increasing revenue per seller.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Explorance Launches Explorance BlueML and Free Personalized Feedback Analytics Report to Help Human Resource and Academic Leaders Build a More Robust and Agile Workforce<\/strong><\/p>\n\n\n\n

Explorance<\/a>, a leading provider of People Insight Solutions, announced the general availability (GA) of Explorance BlueML, and the start of a special free offer for the award-winning workforce and student sentiment analysis solution.<\/p>\n\n\n\n

An industry leading machine learning (ML) tool trained on employee and student responses, BlueML delivers actionable insights from large datasets of comments and feedback in minutes. Eliminating the need for time-consuming manual review and data organization processes, businesses and academic institutions gain a clearer look at employee and student needs and expectations, while also informing proactive measures to support a more satisfied, engaged, and well-trained workforce or student body.<\/p>\n\n\n\n

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“Most organizations are unaware that they are sitting on a large source of untapped feedback datasets that can help improve their people’s overall experience and career journey,” said Samer Saab, Explorance Founder and CEO. “With BlueML, organizations can now bring to light the uncommon connections, and deep insights, about employees or students, that are otherwise, not easily accessible. With automated and intelligent analysis, the time and effort it takes to unlock data-driven decisions is significantly reduced, empowering organizations to act by evidence and not by assumption.”<\/p>\n<\/blockquote>\n\n\n\n

Pure Storage Ushers in the New Era of Unstructured Data Storage with FlashBlade\/\/E<\/strong><\/p>\n\n\n\n

Pure Storage<\/a>\u00ae<\/sup> (NYSE: PSTG), an IT pioneer that delivers the world\u2019s most advanced data storage technology and services, announced FlashBlade\/\/E\u2122, a scale-out unstructured data repository built to handle exponential data growth with industry-leading energy efficiency. At an acquisition cost competitive with disk and much lower operational costs, the introduction of FlashBlade\/\/E means that customers no longer need to settle for disk for bulk data.<\/p>\n\n\n\n

For global organizations, unstructured data capacity is expected to grow by 10x before 2030. For large-capacity, price-sensitive workloads that use current disk-based storage solutions, this growth is unsustainable. Disk-based systems are a burden on many enterprises\u2019 IT teams and budgets as they are challenging to manage, require massive amounts of power, take up large amounts of space and their components fail too often, causing disruption and risking valuable data. Ultimately, this diminishes the ability to derive business value from data. While modern file and object storage solutions are capable of addressing many of these challenges, they haven\u2019t been a viable option for large unstructured data repositories that are price-sensitive \u2013 until now. <\/p>\n\n\n\n

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\u201cWith FlashBlade\/\/E, we\u2019re realizing our founder\u2019s original vision of the all-flash data center. For workloads where flash was once price-prohibitive, we are thrilled to provide customers the major benefits Pure delivers at a TCO lower than disk.\u201d – Amy Fowler, VP & General Manager, FlashBlade, Pure Storage<\/p>\n<\/blockquote>\n\n\n\n

Rockset Makes Real-time Analytics Affordable at Cloud Scale with Compute-Compute Separation<\/strong><\/p>\n\n\n\n

Rockset<\/a>, the real-time analytics database built for the cloud, announced a new release that isolates streaming ingestion from low latency queries for real-time data applications. Just like compute-storage separation was a game-changer for cloud data warehouses, compute-compute separation for real-time analytics unlocks new efficiencies in the cloud. It eliminates compute over-provisioning by allowing either streaming ingest or query serving to be scaled up and down independently. It also enables multiple isolated applications on shared real-time data, without the need for multiple replicas.<\/p>\n\n\n\n

Real-time analytics has seen rapid growth with digital supply chains, e-commerce personalization, fraud detection, and real-time pricing driving both operational efficiencies and revenue growth for organizations of all sizes. One of the primary challenges in deploying real-time data applications efficiently at scale has been the compute-intensive nature of ingesting streaming data and serving low latency queries at the same time. With first-generation databases such as Elasticsearch, the lack of predictable performance arising from compute contention has led to resource over-provisioning and high operational burden for engineering teams building these applications at scale. Traditional databases rely on replicas for isolating multiple applications, but the approach requires maintaining multiple copies of the data and has proven to be too slow and expensive for real-time analytics.<\/p>\n\n\n\n

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\u201cAs a cloud-native real-time analytics database, Rockset already has compute-storage separation but we found that was necessary, not sufficient for streaming architectures. Compute isolation is a critical innovation for breaking down the barriers of cost and complexity in processing high-velocity streaming data and low latency queries,\u201d says Venkat Venkataramani, co-founder and CEO of Rockset. \u201cRockset is the industry\u2019s first to extend cloud-native data architectures, delivering compute-compute separation for real-time analytics, and enabling multiple applications on shared real-time data, without any operational burden.\u201d<\/p>\n<\/blockquote>\n\n\n\n

TigerGraph Expands Cloud Offering with Powerful New Capabilities to Streamline Adoption of Graph Technology for Deeper Business Insights<\/strong><\/p>\n\n\n\n

TigerGraph<\/a><\/u>, provider of a leading advanced analytics and ML platform for connected data, announced the latest version (3.9) of TigerGraph Cloud<\/a><\/u>, the native parallel graph database-as-a-service, including powerful new security, advanced AI, and machine learning capabilities that meet the demands of its rapidly growing customer base and streamline the adoption, deployment, and management of the most scalable graph database platform. The underlying parallel native graph database engine is also available for on-prem or self-managed cloud installation.<\/p>\n\n\n\n

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\u201cGraph is a crucial tool for solving business challenges and TigerGraph is committed to helping customers unlock the full potential of their data by using ML and AI to close the gap between data and decisions,\u201d said Jay Yu, vice president of product and innovation at TigerGraph. \u201cBased on direct feedback from enterprise customers relying on TigerGraph to power mission-critical graph applications, this new release offers more advanced machine learning capabilities that allows customers to supercharge their data analytics projects at scale, with speed, and in the most collaborative way possible.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Informatica Launches Free, AI-powered Solution for Data Practitioners<\/strong><\/p>\n\n\n\n

Informatica<\/a> (NYSE: INFA), an enterprise cloud data management leader, launched a free cloud data loading, integration and ETL\/ELT service – Informatica Cloud Data Integration-Free and PayGo. The new offering targets data practitioners and non-technical users such as in marketing, sales, and revenue operations teams to build data pipelines within minutes. For example, it provides operations teams with a fast, free, and frictionless way to load, integrate and analyze high-quality campaign, pipeline, forecast, and revenue data. In addition, data analysts and data engineers benefit from increased productivity and rapid development.<\/p>\n\n\n\n

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“We are redefining the data integration market by making it free, easy to use and accessible to everyone. Organizations face the challenge of ingesting huge volumes of data from disparate sources and then making sense of that information. There is a clear need for no setup and no code SaaS data integration tools that are free and pay-as-you-go to quickly get started serving both business-focused data engineers and non-technical business users and analysts,\u201d said Jitesh Ghai, Chief Product Officer at Informatica. “By giving business and non-technical users access to simple, cost-optimized data integration solutions, organizations can bring the power of data to the masses.”<\/p>\n<\/blockquote>\n\n\n\n

Folloze AI, Powered by ChatGPT, adds Critical Layer of Buyer Engagement Insights to Drive Increased Revenue<\/strong><\/p>\n\n\n\n

Folloze<\/a>, the no-code B2B Buyer Experience Platform (BX 3.0), announced the launch of Folloze AI, a content recommendation and buyer insight engine designed to bring the most relevant and engaging content to buyers in real time and generate first party intent data. The new ChatGPT-powered, AI solution enables all marketers to create impact at every digital touch point, accelerating pipeline and revenue. Enhancing the latest release of Folloze Buyer Experience 3.0 that unlocked the ability to create digital experiences across the journey, this new release adds a critical layer of first-party intelligence and insights, and the ability to scale personalization to move opportunities through the pipeline faster for better outcomes. Folloze AI is available for select customers in beta.<\/p>\n\n\n\n

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\u201cSince the launch of Folloze Buyer Experience 3.0 last year, we have seen its significant adoption to deliver high-value, on-brand experience across the buyer journey. This is no surprise since companies are looking to rationalize their stack and find a scalable way to power data driven digital buyer journeys operated by all marketers, not just a few,” said David Brutman, co-founder and Chief Product Officer. “Folloze AI further changes the game by injecting intelligence into those digital touch points. This ensures the best content is served and first party intent insights are surfaced to drive impact in the revenue cycle creation.”<\/p>\n<\/blockquote>\n\n\n\n

Talend Unveils Major Data Fabric Platform Update<\/strong><\/p>\n\n\n\n

Talend<\/a>, a global leader in data integration and management, announced the latest update to Talend Data Fabric<\/a>, its end-to-end platform for data discovery, transformation, governance, and sharing. Talend is a pioneer in low-code data solutions that help remove the technological and skills-based barriers to working effectively with data across the enterprise and accelerate the process of turning raw data into meaningful business outcomes. In the Winter ’23 release, this tradition continues with the introduction of advanced capabilities and enhancements to simplify and automate cloud migrations and data management, expand data connectivity, and improve data visibility, quality, control, and access.<\/p>\n\n\n\n

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“Winter ’23 is based on direct customer feedback and continuing to support those on the front lines charged with the increasingly daunting task of extracting maximum, ongoing value from corporate data,” said Jason Penkethman, Chief Product Officer, Talend. “As well as continuing to drive operational efficiency and expedite data modernization efforts and returns, with Winter ’23, we are also empowering our customers to continuously monitor data throughout its lifecycle and understand and impact how it evolves and moves to fuel positive business outcomes.”<\/p>\n<\/blockquote>\n\n\n\n

EDB Postgres Distributed 5.0 Enables Operational Resiliency, Scalability and Disaster Recovery<\/strong><\/p>\n\n\n\n

EnterpriseDB<\/a> (\u201cEDB\u201d), a leader in accelerating Postgres\u00ae in the enterprise, announced EDB Postgres Distributed (PGD) 5.0, a breakthrough innovation that uniquely solves the problem of planned downtime and unplanned outages for enterprises running business-critical applications. This advanced database enhancement answers the market demand for five 9s availability in business-critical applications. Extreme high availability allows customers to run PostgreSQL with up to 99.999%+ availability through innovative active-active technology, a capability that no other Postgres-native database offers.<\/p>\n\n\n\n

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\u201cOperational resiliency is paramount for businesses today – especially those in banking and financial services,\u201d said Marc Linster, Chief Technology Officer, EDB. \u201cDowntime and data loss can lead to significant business disruption, and enterprises simply cannot afford that. EDB Postgres Distributed 5.0 delivers extreme high availability to minimize downtime so customers can always access their data and applications  – even through major version upgrades and during maintenance operations.\u201d <\/p>\n<\/blockquote>\n\n\n\n

Conversica Launches Enterprise-Ready GPT-Powered Chat Solution<\/strong><\/p>\n\n\n\n

Conversica, Inc<\/a>., a leading provider of Conversation Automation solutions for enterprise revenue teams, announced Conversica Chat, the first generally available GPT-powered chat solution for enterprise use. Since 2020, Conversica has been incorporating the latest Generative AI and multiple large language models (LLM) into its solutions. With Conversica Chat for the enterprise, users are able to engage in ongoing, personalized interactions that provide highly relevant information and resources to support them through their buying processes, with a host of capabilities that truly make this technology consumable by the Fortune 100.<\/p>\n\n\n\n

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\u201cGPT and large language models have been the foundation of Conversica\u2019s Conversation Automation solutions for several years,\u201d said Jim Kaskade, CEO of Conversica. \u201cOur aim has always been to disrupt the industry by combining GPT technologies with the enterprise-scale features that customers demand. Conversica Chat is only the beginning of the customer journey. Our Powerfully Human\u2122 conversation technology engages users in a humanlike way throughout the buyer lifecycle, across all communication channels. These capabilities make Conversica\u2019s AI automation solutions mission-critical to customers of all sizes.\u201d<\/p>\n<\/blockquote>\n\n\n\n

SambaNova Delivers Generative AI Capabilities to the Enterprise \u2014 the New SambaNova Suite Delivers the Most Accurate Pre-Trained and Open-Source Generative AI Models<\/strong><\/p>\n\n\n\n

SambaNova Systems<\/a>, the company that was first to market with pre-trained foundation models to underpin generative AI, announced the new SambaNova Suite, a collection of the most accurate generative AI models optimized for the enterprise, deployed on-premises or in the cloud. SambaNova Suite provides both state-of-the-art open-source models and models pre-trained by SambaNova, such as SambaNova\u2019s GPT offering, all of which can be fine-tuned on a company\u2019s data for greater accuracy. The SambaNova Suite is easily accessible through simple APIs and integrates with existing business processes to provide immediate value.<\/p>\n\n\n\n

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\u201cFor enterprises to continue to be competitive in almost any arena, they will need their own foundation model with generative AI capabilities. The new SambaNova Suite snaps into existing workflows and applications in a secure way to enable rapid adoption of generative AI across the enterprise,\u201d said Marshall Choy, SVP of Product at SambaNova Systems.<\/p>\n<\/blockquote>\n\n\n\n

SlashNext Launches Industry\u2019s First Generative AI Solution for Email Security<\/strong><\/p>\n\n\n\n

SlashNext<\/a>, a leader in SaaS-based Integrated Cloud Messaging Security across email, web, and mobile, announced the launch of Generative HumanAITM<\/sup>, the industry\u2019s first artificial intelligence solution that uses generative AI to defend against advanced business email compromise (BEC), supply chain attacks, executive impersonation, and financial fraud. SlashNext now has the most comprehensive cloud email protection with link-based, attachment-based, and natural language-based BEC attacks.<\/p>\n\n\n\n

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\u201cBEC is a $43 billion problem for organizations, according to the FBI, and now with ChatGPT, the opportunities are boundless for hackers to modify code, simulate conversations and launch attacks faster than any human,\u201d said Patrick Harr, CEO of SlashNext. \u201cThe addition of Generative AI to SlashNext\u2019s HumanAI platform represents a revolutionary breakthrough that provides the only effective prevention, by not only identifying current zero-hour BEC threats but also anticipating a massive number of future threats.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Rossum Publishes World\u2019s Largest Research Dataset and Benchmark to Accelerate Scientific Progress in IDP<\/strong><\/p>\n\n\n\n

Rossum<\/a>, a pioneer in cloud-native Intelligent Document Processing (IDP), announced that it published the world\u2019s largest research dataset to accelerate scientific progress in business document information extraction (IE). Large datasets are crucial to improving and measuring how AI models perform, which is why the groundbreaking DocILE<\/a> (Document Information Localization and Extraction) benchmark is so important. It is the world\u2019s largest collection of business documents for the most practical information extraction tasks in IDP. Rossum\u2019s R&D efforts continue to focus on delivering faster and more accurate document information extraction methods, so customers can minimize slow, tedious, and error prone manual document processing.<\/p>\n\n\n\n

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\u201cThis is an important milestone because it advances IDP research as a whole, where everyone can now develop and test more advanced algorithms on a benchmark of challenging and highly practical tasks,\u201d said Milan \u0160ulc, Ph.D., Head of Rossum\u2019s AI Labs. \u201cThe new dataset will increase accuracy levels in document information extraction by accelerating research in areas such as novel machine learning architectures and training objectives. This will ultimately lead to global optimization of business communication and workflows, further increasing the amount of the time saved for our customers.\u201d<\/p>\n<\/blockquote>\n\n\n\n

New Health Tech Startup Automates Data Compliance to Unlock Insights and Bring Speed to the Healthcare Industry<\/strong><\/p>\n\n\n\n

Integral<\/a>, a new health tech company, launched the first end-to-end collaborative software suite to automate healthcare data compliance \u2013 improving the ability to quickly evaluate sensitive healthcare data and drive patient-centric analysis.<\/p>\n\n\n\n

Emerging from stealth, the company announced a pre-seed funding round and launched the Integral Platform \u2013 a suite of automation and collaborative tools that enables healthcare data compliance in hours to days, rather than months, and enables businesses to make quick, informed decisions to improve everyday people\u2019s health. <\/p>\n\n\n\n

Until now, there was no way to automate the privacy certification of healthcare datasets to comply with regulations like HIPAA<\/a>. Today it is a slow, cumbersome, manual, and expensive process typically performed as a consulting service. Integral directly integrates with data storage systems such as AWS (Amazon Web Services) or GCP (Google Cloud Platform), continuously runs a set of privacy assessments, and enables users to resolve privacy violations through an easy-to-use interface. Integral powers real-time compliance so companies can work with data safely and more quickly than they ever have before.<\/p>\n\n\n\n

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\u201cToday, healthcare data compliance is done on an episodic, ad-hoc basis rather than a continuous process,\u201d said Shubh Sinha, co-founder and CEO, Integral. \u201cI believe there needs to be a continuous solution to solve this continuous problem. By speeding up the compliance process for healthcare data, Integral makes it possible to create bespoke patient experiences, streamline drug development research, and more while ensuring patient privacy. This is critical to creating a better healthcare system.\u201d<\/p>\n<\/blockquote>\n\n\n\n

data.world Launches First AI Lab for the Data Catalog Industry<\/strong><\/p>\n\n\n\n

data.world, the enterprise data catalog for the modern data stack, launched the data.world AI Lab, a first for the data catalog industry. The data.world AI Lab brings together customers, partners, and academics to collaborate on using the latest AI technologies to improve data team productivity through data catalog integrations. Dr. Juan Sequeda, principal scientist at data.world and co-author of the book Designing and Building Enterprise Knowledge Graphs<\/em>, will lead the AI Lab, with an initial focus on automating data discovery and governance using data.world\u2019s patented knowledge graph foundation and AI tools such as GPT-3, OpenAI\u2019s large language model (LLM). <\/p>\n\n\n\n

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“data.world\u2019s AI Lab showcases the power of knowledge graphs and AI tools, especially how they can be used together to improve business outcomes,” said Brett Hurt, CEO and co-founder of data.world. “The integration with GPT-3 is just the first example of the many possibilities that lie ahead, and we look forward to continuing to work with our customers to explore new and exciting use cases for knowledge graphs. When we founded data.world, we started with our knowledge graph architecture because we knew it would serve as a foundation for the future of AI. That future is here now.”<\/p>\n<\/blockquote>\n\n\n\n

OneStream Expands Machine Learning Capabilities to Build Trust and Transparency for Customers<\/strong><\/p>\n\n\n\n

OneStream<\/a>, a leader in corporate performance management (CPM) solutions for the world\u2019s leading enterprises, announced expanded capabilities for its Sensible ML<\/a> solution which increases machine learning (ML) forecasting transparency and explainability of key business drivers. The solution is now available to both existing OneStream SaaS customers as well as prospective OneStream customers. Sensible ML is a time series ML solution that integrates with existing planning processes to drive improved forecasting accuracy and efficiency. These expanded capabilities provide additional transparency and trust for users while increasing agility, time to value and enterprise value associated with operational planning processes.<\/p>\n\n\n\n

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\u201cOneStream views the opportunity for AI no differently from core CPM processes \u2013 AI must be unified to core processes if it\u2019s going succeed,\u201d said Tom Shea, CEO at OneStream. \u201cTraditional CPM tools offer the same challenges they always do. They are fragmented, require data movement and maintenance behind the scenes and do not contain actual ML modeling capabilities. Our expanded Sensible ML release allows users to align financial and operational planning across the enterprise, with enhanced capabilities for leveraging external data to further drive transparency and understanding of key business drivers while seamlessly integrating it into their existing CPM processes.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Ubotica Delivers Increased Edge Compute Performance per Watt for In-Orbit AI<\/strong><\/p>\n\n\n\n

Ubotica Technologies<\/a>, a leading provider of smarts for smart satellites, announced CogniSAT-XE2 the next generation hardware platform for delivering state of the art Artificial Intelligence (AI) in space. Building on the flight proven CogniSAT technology, CogniSAT-XE2 comes in a mechanical and power envelope compatible with small satellites even down to CubeSats and delivers increased compute performance per Watt.<\/p>\n\n\n\n

Satellites designed using CogniSAT-XE2 accelerate system return on investment by maximising in-orbit data analysis capabilities to deliver actionable insights in real-time and optimising downlink data load. CogniSAT-XE2 provides the AI capabilities to enable a wide variety of AI-enabled applications such as real-time navigation and collision avoidance assistance, image analysis and insight generation, area of interest identification and smart data management.<\/p>\n\n\n\n

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According to John Doody, VP Product at Ubotica, \u201cCogniSAT-XE2 expands the capabilities and autonomy of Earth Observation satellite constellations. Image analysis at the edge in space can be used to direct space-based observation assets in real time to areas of specific interest. Operation of CogniSAT-XE2 is programmable in orbit and can be dynamically enhanced based on operator need or the real-time analysis of sensor data.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Kyndi Introduces Kyndi Clarity – a Natural Language-powered Self-service Solution That Enables Customers and Employees to Find the Right Answers in Just One Click<\/strong><\/p>\n\n\n\n

Kyndi, a leading natural language processing (NLP) company, announced the general availability of Kyndi Clarity<\/a>, a natural language-enabled self-service customer support solution that delivers accurate results instantly. In just one click, Kyndi Clarity enables customers and employees to find accurate and trustworthy information on their own without having to wait on the helpline or call support teams. Built on top of the Kyndi Natural Language Platform<\/a>, Kyndi Clarity provides customers with precise answers in their time of need, allowing companies to improve first contact resolution (FCR) rate, drive customer support efficiency, and boost both customer and agent experiences. <\/p>\n\n\n\n

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\u201cCustomers and employees alike are tired of ineffective solutions like Chatbots and IVAs because these tools fail to find the right answers for them. ChatGPT showed the world there is a better way to search, and Kyndi Clarity now makes those same technologies usable in the enterprise,\u201d said Ryan Welsh, CEO and Founder of Kyndi. \u201cKyndi Clarity helps people answer questions by providing highly relevant, trustworthy, and context-driven information in a simple, self-service manner to optimize customer experience and improve employee productivity.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Bloomreach Launches AI Content Generation for Email, SMS, and Push Notifications with ChatGPT Integration<\/strong><\/p>\n\n\n\n

Bloomreach<\/a>, the Commerce Experience Cloud, announced the expansion of its AI\/ML capabilities<\/a> with the launch of a ChatGPT integration for Bloomreach Engagement<\/a>. A world-class language model chatbot, ChatGPT will offer marketers using Bloomreach Engagement a simpler way to generate content for emails, SMS, in-app, and push notifications. In removing the time-consuming nature of writing content variations for different channels, this integration will help marketers quickly scale campaigns and reach every customer segment with personalized communications. <\/p>\n\n\n\n

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\u201cBloomreach has always sought to perfect the balance between AI and user control, and the integration of ChatGPT in Bloomreach Engagement is yet another example of that,\u201d said Michal Novovesky, General Manager and Head of Product, Bloomreach Engagement. \u201cMarketers create the strategy behind every campaign, then use ChatGPT to build the content and scale even faster. Further powered by the data and insights of Bloomreach Engagement, those campaigns will become more personalized, more effective, and ultimately \u2014 more impactful to the bottom line.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Writer Launches Three New Generative AI Models for the Enterprise<\/strong><\/p>\n\n\n\n

Writer<\/a>, the full-stack generative AI platform built for business, launched three new proprietary large language models (LLMs) designed for enterprise-ready generative AI. Palmyra Small (128M), Palmyra Base (5B), and Palmyra Large (20B) are the only in-production LLMs that were trained on a set of data specifically curated to power AI use cases for the enterprise. <\/p>\n\n\n\n

Palmyra Small<\/a> and Base<\/a> LLMs are accessible via free download on Hugging Face<\/a>. Writer\u2019s enterprise customers have their generations all powered by Palmyra Large through the Writer platform, and Writer enterprise customers are also now able to integrate generative AI capabilities directly into their products and to scale and improve their experience with Writer via Writer\u2019s new API<\/a> to Palmyra Large.<\/p>\n\n\n\n

\n

\u201cWriter was built from the ground up to take AI into the enterprise. It all starts with our proprietary model, where customers own their inputs, training data, and outputs,\u201d said May Habib, CEO of Writer. \u201cNo enterprise leader wants their data to be fodder for someone else\u2019s foundation model, including ours. We give customers all the benefits of the AI application layer without any of the risks of other AI applications and commercial models. Enterprise leaders want to invest in solutions that will essentially give them their own LLM.”<\/p>\n<\/blockquote>\n\n\n\n

Alteryx Boosts Decision Intelligence with New Cloud Analytics Platform Capabilities<\/strong><\/p>\n\n\n\n

Alteryx, Inc.<\/a> (NYSE: AYX), the Analytics Automation company, announced new self-service and enterprise-grade capabilities to its Alteryx Analytics Cloud Platform<\/a> to help customers make faster and more intelligent decisions. The enhanced platform, which now includes all access for Designer Cloud, offers an approachable easy-to-use drag-and-drop modern interface accessible to employees of all skill levels, without compromising data governance or security standards.<\/p>\n\n\n\n

\n

“The 2023 State of Cloud Analytics report shows actual benefits of cloud analytics for decision making and operational efficiency among others far surpassed expectations,” said Suresh Vittal, chief product officer at Alteryx. “With Alteryx’s best in-class experiences, on a cloud-native enterprise-grade platform, we are enabling our customers to navigate through uncertainty and succeed in the next era of digital transformation.”<\/p>\n<\/blockquote>\n\n\n\n

Yellow.ai strengthens its platform capabilities with Dynamic Conversation Designer to deliver faster time-to-market <\/strong><\/p>\n\n\n\n

Yellow.ai<\/a>, a leading enterprise-grade Conversational AI platform, announced the launch of its Dynamic Conversation Designer<\/a>,<\/strong> revolutionizing the design process of chat and voice conversational workflows with Generative AI. With its user-friendly, no-code interface, enterprises can now create accurate designs in mere minutes, reducing time-to-market by 50%. The seamless integration between design and development workflows streamlines the creation of human-like conversational experiences, saving both time and costs on hiring and training new design talent. <\/p>\n\n\n\n

\n

\u201cConversational flows that lack design thinking can frustrate customers, diminish expected ROI, and potentially damage the brand,” said Raghu Ravinutala, CEO and Co-founder, Yellow.ai. “Delivering increased productivity, our Dynamic Conversation Designer is directly in line with our vision of empowering businesses to deliver the most impactful interactions at scale and speed. Leveraging it, we were recently able to deliver a full-fledged chatbot implementation in two hours, a significant improvement from the previous requirement of at least two days for design and development in silos.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Logz.io Cuts Mean Time to Remediation From Hours to Minutes With Integration of Generative AI Into Open 360 Platform<\/strong><\/p>\n\n\n\n

Logz.io<\/a>, provider of the industry\u2019s most efficient, simple-to-use observability platform, based on open source, announced expansion of its AI-driven insight into the optimization of cloud applications and infrastructure through integration of generative AI. By combining the power of a large language model with its existing AI capabilities\u2014including the patented Cognitive Insights system\u2014Logz.io further positions its Open 360TM<\/sup> platform as a modern, full-stack observability solution. Users benefit from the platform\u2019s continued innovation, driven by crowdsourced insights from its global community of engineering and ITOps professionals to reduce mean time to remediation (MTTR).<\/p>\n\n\n\n

\n

\u201cBusiness agility drives development agility, which in turn creates operational complexity and significant troubleshooting challenges,\u201d said Logz.io CTO and co-founder Asaf Yigal. \u201cMost companies collect far more data than they can operationally use, and they spend more money on their observability solutions each and every year. Perversely, all this data and money leads to fewer and fewer targeted insights that positively inform decision-making. Logz.io\u2019s use of generative AI within our existing Cognitive Insights capability is a game changer, because it immediately can reduce MTTR, while extracting more value from less data, all at a lower cost.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Start-up One AI Launches Multilingual AI Technology Bringing AI Capabilities to Non-English Native Speakers<\/strong><\/p>\n\n\n\n

One AI<\/a>, a platform that enables business to utilize the world’s best generative AI in their products and services, announced a multilingual solution, bringing advanced AI capabilities to the 95 percent of the world that does not speak English natively. One AI offers a comprehensive library of AI capabilities that can be tuned and tailored by customers to fit their unique business needs. In addition to English, the platform now supports Spanish, French, German, Portuguese, Hebrew, and Japanese, with additional languages in the works.<\/p>\n\n\n\n

\n

\u201cLess than five percent of the world speaks English natively. Now our customers can seamlessly support additional languages in their products and services,\u201d said Amit Ben, co-founder and CEO, One AI. \u201cOur multilingual capabilities are quick and easy to integrate into any platform \u2013 whether podcast platform, CRM, content publishing tool, or any other product. The language detection, processing, transcription, analytics, and comprehension capabilities are there.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Sign up for the free insideBIGDATA newsletter<\/a>.<\/em><\/p>\n\n\n\n

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Join us on Facebook: https:\/\/www.facebook.com\/insideBIGDATANOW<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

In this regular column, we\u2019ll 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\u2019re in close touch with vendors from this vast ecosystem, so we\u2019re in a unique position to inform you about all that\u2019s 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.<\/p>\n","protected":false},"author":37,"featured_media":23639,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,65,115,62,63,64,66,182,68,1054,87,180,1302,67,56,1],"tags":[280,133,277,95],"acf":[],"yoast_head":"\ninsideBIGDATA Latest News \u2013 3\/7\/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\/03\/07\/insidebigdata-latest-news-3-7-2023\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"insideBIGDATA Latest News \u2013 3\/7\/2023 - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"In this regular column, we\u2019ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. 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