Artificial Intelligence Articles
Alteryx, Inc., the Analytics Automation company, is acquiring Hyper Anna, a leading cloud platform for generating artificial intelligence (AI)-driven automated insights from data. The acquisition of Hyper Anna will allow Alteryx to automate the end-to-end analytic pipeline from data sources to AI-driven insights.
Posted November 02, 2021
What types of platforms are most viable for modern data analytics requirements? These days, there are a wide variety of choices available to enterprises, including data lakes, warehouses, lakehouses, and other options—resident within an on-site data center or accessed via the cloud. The options are boundless. It's a matter of finding the best fit for the business task at hand.
Posted November 01, 2021
Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, is releasing Amazon Elastic Compute Cloud (Amazon EC2) DL1 instances, a new instance type designed for training machine learning models. DL1 instances are powered by Gaudi accelerators from Habana Labs (an Intel company) to provide up to 40% better price performance for training machine learning models than the latest GPU-powered Amazon EC2 instances, according to AWS.
Posted October 28, 2021
Hackolade founder and CEO Pascal Desmarets explained how polyglot persistence enables organizations to leverage the strength of multiple data stores, deal with scale more efficiently, and more during his presentation at Data Summit Connect 2021.
Posted October 28, 2021
Last year, organizations around the world, across all industries, were forced to leverage new technologies on multiple fronts to accommodate a new normal. The adoption of AI and machine learning saw exponential growth to bring about the changes needed to keep up with the shift to remote working. AI and ML technologies found their way into everything from advanced medical diagnostic systems to quantum computing systems, and from virtual assistants to smart homes. According to Algorithmia's 2021 Enterprise Trends in Machine Learning report, 50% of enterprises plan to spend more on AI and ML in 2021, with 20% saying they will be significantly increasing their budgets.
Posted October 28, 2021
Robin.io and StorCentric partnered to release hyperconverged cloud-native solutions that simplify and accelerate channel solution providers' and end users' journey to the private cloud.
Posted October 27, 2021
Franz Inc., an early innovator in AI and leading supplier of graph database technology, is releasing AllegroGraph 7.2, providing organizations with essential data fabric tools, including graph neural networks, graph virtualization, Apache Spark graph analytics, and streaming graph pipelines.
Posted October 27, 2021
SAP and the EU TUMO Convergence Center for Engineering and Applied Science, which helps bridge the gap between higher education and industry in Armenia, is launching a strategic collaboration aimed at helping university students and recent graduates understand, utilize, and shape digital technologies.
Posted October 27, 2021
Credo AI is emerging from stealth, publicly launching a comprehensive governance platform for Artificial Intelligence that provides tools that help companies ensure their AI systems and machine learning models are aligned with ethical, regulatory, and business requirements.
Posted October 20, 2021
Google AI/ML Specialist Skander Hannachi defines explainable AI and outlines its predictive power and overall value proposition for organizations during his presentation at Data Summit Connect 2021.
Posted October 20, 2021
Databases are vital to every business. They are responsible for recording and communicating some of the organization's most critical data. Whether it's related to employee records, sales transactions, product inventory, customer profiles, or even just marketing activities, organizations often can't afford to lose any database data.
Posted October 20, 2021
Streamlit, the creators of an app framework for machine learning and data science, is offering Streamlit 1.0, adding improvements and customization options that allow data scientists to go from data and models to deploying apps. Streamlit is an easy-to-use framework that lets data scientists quickly build web apps to access and explore machine learning models, advanced algorithms, and complex data types.
Posted October 12, 2021
Domino Data Lab, provider of an Enterprise MLOps platform, announced it has received $100 million in a latest funding round along with expanding its partnership with NVIDIA to further integrate products and expand joint sales efforts to support customers' efforts to build model-driven businesses.
Posted October 12, 2021
ScaleOut Software is adding major extensions to its ScaleOut Digital Twin Streaming Service that enable real-time digital twin software to implement and host machine learning and statistical analysis algorithms. Real-time digital twins can now make extensive use of Microsoft's ML.NET machine learning library to implement these groundbreaking capabilities for virtually any IoT device or source object.
Posted October 08, 2021
VMware, Inc. is offering Cross-Cloud services to help customers navigate the multi-cloud era, giving users integrated services that will help deliver a faster and smarter path to cloud to build, run, and better secure apps across any cloud with freedom and flexibility. This announcement was made at VMWare 2021.
Posted October 07, 2021
Brian O'Neill, founder and principal of Designing for Analytics, discussed the key design challenges data product teams face during his presentation at Data Summit Connect 2021.
Posted October 07, 2021
AI, machine learning, and edge computing may be all around us, and these technology endeavors all have one important thing in common: Their success depends on the quality of the data fed into them. Data managers recognize that data quality efforts must be improved to meet these new demands and they are concerned about the quality of the data moving through their enterprises. Eight in 10 organizations' data quality efforts are lagging or problematic. These are among the findings of a new survey of 238 data managers conducted by Unisphere Research, a division of Information Today, Inc., in partnership with Melissa.
Posted October 05, 2021
You might think the title of this article is somewhat controversial, but you should wait to render judgment until you've read to the end. There are several important shifts impacting data management and database administration that cause manual practices and procedures to be ineffective. Let's examine several of these trends.
Posted October 05, 2021
Wondering what's new from the Oracle Database development team? William Hardie, vice president of Oracle Database product management, shared the latest information about features and enhancements and Oracle's database strategy with regard to on-premise, in-cloud, and hybrid cloud deployments.
Posted October 05, 2021
Modern businesses make decisions based on data that's been carefully collected, extracted, formatted, and analyzed. Data powers competitiveness, brings new products to the marketplace, and improves the customer experience. The use cases are nearly endless, but there's a catch: Working with all that data is becoming increasingly complex.
Posted October 05, 2021
The proliferation of data sources, types, and stores is increasing the challenge of combining data into meaningful, actionable information. As a result, the need for faster and smarter data integration capabilities is growing. In a recent survey, nearly half of DBTA subscribers indicated that real-time insights are critical to their data strategies. At the same time, to deliver actual value, people need information they can trust, so balancing governance is essential nowadays, especially with ongoing regulatory requirements.
Posted October 05, 2021
NVIDIA and VMware are collaborating to develop an AI-ready enterprise platform that brings the world's leading AI stack and optimized software to the infrastructure used by hundreds of thousands of enterprises worldwide.
Posted October 05, 2021
BMC has announced the acquisition of StreamWeaver, a software company that helps enterprises achieve their end-to-end observability, AI operations (AIOps), cloud migration, and cost reduction goals with extensive data integration capabilities.
Posted October 04, 2021
IBM and Linux Foundation AI and Data (LFAI and Data) have joined together to create a "one-stop shop" for trusted data and AI artifacts in order to reduce duplication across teams when creating assets, as well as mitigate traceability, governance, risk management, lineage tracking, and metadata collection issues.
Posted October 04, 2021
Cloudastructure, a cloud-native AI surveillance company, is adding a new enterprise-grade solution with robust administration and safety features as well as AI analytics to its suite of offerings to meet the growing needs of its larger customers. The new enterprise-grade offering will include different levels of administrative and user roles through its Permission System as well as a complete audit trail of user interaction with unlimited storage.
Posted October 01, 2021
Alteryx and UiPath have expanded their strategic partnership and introduced new integrations with a connector as part of Alteryx's recent product release. Together, Alteryx analytic process automation (APA) and UiPath robotic process automation (RPA) eases the process of digital transformation by unlocking the value from enterprise data.
Posted September 30, 2021
C3 AI and Google Cloud have announced a partnership to help organizations across multiple industries accelerate their application of AI solutions. "Combining the innovation, leadership, scale, and go-to-market expertise of Google Cloud with the substantial business value delivered from C3 AI applications, this partnership will dramatically accelerate the adoption of enterprise AI applications across all industry segments," said Thomas M. Siebel, C3.ai CEO.
Posted September 30, 2021
Monte Carlo CEO and co-Founder Barr Moses identifies and shows viewers how to tally the labor costs, the compliance risks, and opportunity costs of data downtime during her presentation at Data Summit Connect 2021.
Posted September 29, 2021
In the rush to bring AI and data solutions to bear, don't guess and don't just ask, "Why?"; also ask, "Why not?" Consider why this application might not be a good idea, may not lead to our intended outcome, might not be well-received, and might not safeguard human dignity and liberties.
Posted September 27, 2021
Unlike their historical ancestors who carried out their acts during a violent war, these pirates of the information superhighway hone their skills so that they can attack remotely when war is imminent or whenever else they wish. They can use these cyberskills to disrupt key infrastructure such as a gas pipeline, a hospital, or other critical facets of an ever-narrowing and fragile supply chain. While they do not carry letters of marque, we know many are state-sponsored.
Posted September 27, 2021
Today's data-driven organizations demand capabilities that adapt to the enterprise and open new paths of innovation to business users. Achieving leadership in today's economy requires identifying and preparing for the emerging technologies and methodologies that deliver transformation.
Posted September 27, 2021
Matillion, a leading cloud data integration platform, announced it has secured $150 million in Series E funding, empowering the company to continue to grow its cloud analytics, AI, and machine learning for large global enterprises. The funding round was led by General Atlantic, a global growth equity firm, with participation from Battery Ventures, Sapphire Ventures, Scale Venture Partners, and Lightspeed Venture Partners.
Posted September 23, 2021
From data ingestion to data modeling and governance, more and more organizations are looking towards automation to accelerate and improve data management and analytics processes. And at a time when data environments continue to expand in size and complexity while IT staff sizes remain relatively flat, it's easy to understand the appeal. Business leaders are hungry for fast, actionable insights. Manual tasks are error prone and time consuming. For many enterprises, the traditional approach to data management is no longer sustainable, particularly when it comes to enabling modern data analytics strategies.
Posted September 23, 2021
ActiveNav, a data privacy and governance software provider, is releasing its Data Mapping as a Service (DMaaS) solution to help privacy and compliance teams quickly identify, inventory, and map sensitive data. Developed with the goal of achieving Zero Dark Data across all types of repositories, ActiveNav's Inventory product discovers and maps data in minutes for compliance with a range of privacy regulations, including GDPR, CPRA and others.
Posted September 22, 2021
SAP is acquiring the intellectual property of SwoopTalent, a provider of talent data intelligence, in an asset acquisition. The deal furthers SAP's vision of human experience management (HXM), which prioritizes individualized employee experiences and dynamic opportunities that boost engagement, improve organizational agility, and ultimately fuel business transformation.
Posted September 22, 2021
DataRobot is launching DataRobot AI Cloud, a unified environment built for the next generation of intelligent business that serves as a single platform to accelerate delivery of AI to production for every organization. DataRobot also announced new features and capabilities for DataRobot AI Cloud to enhance operations in production and build AI-powered applications to deliver critical business insights.
Posted September 20, 2021
Syniti, a provider of enterprise data management, is acquiring 360Science, a proven data quality leader specializing in matching, deduping, unifying, linking, and verifying contact and business data. The acquisition, which encompasses 360Science's technology and the retention of key talent in data matching and linguistics, will strengthen Syniti's expertise in helping customers tackle the complex issues surrounding data.
Posted September 16, 2021
dotData, a provider of AI automation solutions, is partnering with Tableau to enable Tableau users to leverage the power of dotData's AI automation capabilities. As a result of this partnership, Tableau users will be able to build customized predictive analytics solutions faster and more easily.
Posted September 16, 2021
Progress, a provider of products to develop, deploy, and manage high-impact business applications, is releasing Progress Sitefinity DX 14.0, allowing organizations to create an ideal digital experience platform (DXP) tailored to their unique needs and objectives. The solution offers new capabilities for low-code integration and chat-driven engagement, as well as enhanced headless content delivery.
Posted September 15, 2021
Seth Earley identified data quality, testing, and web analysis reports as three key sources of product data metrics and described what they track and reveal during his keynote at Data Summit Connect 2021.
Posted September 15, 2021
Builder.ai is launching a beta of Natasha, an AI-powered product manager that aims to democratize software development with Builder Studio 3.0. For the first time, she (the AI) can interact with customers, starting to remove massive amounts of human variance in the journey from an idea in their head to the app in their hand, according to the vendor.
Posted September 14, 2021
Octopai, a leader in metadata management automation, is releasing a new automated data catalog that is designed for the hybrid world to unify data citizens across any organization. The catalog is fully integrated with the complete multidimensional data lineage platform. Octopai's new data catalog self-creates and self-updates to create consistency for business and technical teams and is easy to implement and maintain in a sometimes remote, always complex, and multi-layered BI environment, according to the company.
Posted September 13, 2021
Teradata, the connected multi-cloud data platform for enterprise analytics, announced that Vantage is now able to operationalize externally created predictive models, also known as model sharing or bring your own model (BYOM). Businesses will now be able to quickly realize a greater return on investment (ROI) in developing analytical models through increased model operationalization, expanded analytic use cases, and a streamlined approach to data-driven decision-making.
Posted September 10, 2021