In this week’s real-time analytics news: A new consortium composed of several industry-leading companies seeks to upskill and reskill those people that will suffer job displacement due to AI.
Keeping pace with news and developments in the real-time analytics and AI market can be a daunting task. Fortunately, we have you covered with a summary of the items our staff comes across each week. And if you prefer it in your inbox, sign up here!
Cisco, Accenture, Eightfold, Google, IBM, Indeed, Intel, Microsoft, and SAP as well as six advisors announced the launch of the AI-Enabled Information and Communication Technology (ICT) Workforce Consortium focused on upskilling and reskilling roles most likely to be impacted by AI.
Working as a private sector collaborative, the Consortium is evaluating how AI is changing the jobs and skills workers need to be successful. The first phase of work will culminate in a report with actionable insights for business leaders and workers. Additionally, consortium member goals include:
- Cisco will train 25 million people in cybersecurity and digital skills by 2032.
- IBM to skill 30 million individuals by 2030 in digital skills, including 2 million in AI.
- Intel to empower more than 30 million people with AI skills for current and future jobs by 2030.
- Microsoft to train and certify 10 million people from underserved communities with in-demand digital skills for jobs and livelihood opportunities in the digital economy by 2025.
- SAP will upskill two million people worldwide by 2025.
- Google has recently announced EUR 25 million in funding to support AI training and skills for people across Europe.
Real-time analytics news in brief
Accenture Federal Services and Google Public Sector have launched a Data & Artificial Intelligence Center of Excellence to support federal agencies in modernizing citizen services with solutions that are purpose-fit for federal agencies, including Google Cloud generative AI technologies. The Data & AI Center of Excellence supports sensitive and classified workloads while meeting regulatory compliance needs through secure data management platforms and assets.
DataStax announced it has entered into a definitive agreement to acquire AI startup Logspace, the creators of Langflow, an open-source visual framework for building retrieval-augmented generation (RAG) applications.
Hasura announced the V3 of its platform, providing on-demand API composability with a new domain-centric supergraph modeling framework, a distributed supergraph execution engine, and a rich and extensible ecosystem of open-source connectors to address the challenges faced during the integration of data and APIs. The new platform also features a new build system, with instant API previews and rollback, and a redesigned console featuring a graphical supergraph viewer, API analytics, observability, and auto-generated API documentation.
iGrafx announced the early access launch of Process360 Live Process Simulation in the cloud, integrated with its process mining and design capabilities. Process Simulation enables organizations to accelerate and de-risk process optimization initiatives with the ability to test “what if” hypotheses for future process changes. It identifies and measures the impact a change will have, allowing prioritization of the highest-ROI improvement initiatives.
Ikigai Labs announced the availability of its AI platform in the Microsoft Azure Marketplace. With this move,Ikigai Labs customers can now take advantage of the productive and trusted Azure cloud platform with streamlined deployment and management.
KX announced the integration of its vector database KDB.AI with LlamaIndex, an open-source framework that streamlines the ingestion, storage, and retrieval of datasets for Retrieval-Augmented Generation (RAG) applications. The collaboration empowers developers to augment Large Language Models (LLMs) with contextually accurate information, and in turn, provide more precise and relevant responses to end user queries.
Precisely announced that its Precisely Connect data integration solution now supports Amazon Relational Database Service (Amazon RDS) for Db2, simplifying migration from customers’ Database 2 databases to Amazon Web Services (AWS) and helping organizations achieve greater scale and gain new insights from analytic workloads.
RAVEL (formerly StratusCore) announced the release of RAVEL Orchestrate GenAI. The solution is purpose-built to provide IT and DevOps administrators with a single-screen interface for managing the assembly and deployment of complex content creation and generative AI environments across teams and pipelines. RAVEL is also working on a new integration with AI applications accelerated by the AMD ROCm open software stack as part of Orchestrate GenAI.
Reltio introduced its Reltio Customer 360 Data Product, the first in its series of 360 Data Products. This is a next-generation cloud solution that provides a comprehensive view of customer data – in milliseconds. For users, the new solution provides a significant leap toward future-proofing their enterprises against the evolving data challenges of the digital age.
Salesforce announced the beta availability of Einstein Copilot for Tableau, a new capability designed to help users in every role and function explore data with AI assistance. With Einstein Copilot for Tableau, users can dive deep into their data, utilizing Tableau’s powerful analytical engine through natural language to query and derive rich insights from data sources like spreadsheets, cloud and on-premises data warehouses, and Salesforce Data Cloud.
Timescale announced it has acquired PopSQL, the SQL editor, collaboration, and visualization tool for developers and data teams. With the acquisition, Timescale customers can now query their databases entirely in a browser or a desktop app. Timescale + PopSQL make it easy for users to create visual dashboards on top of their databases, keep a history of past queries for reuse, collaborate on queries with others on their team, and more.
TrendMiner announced the launch of its 2024.R1 release. This latest update helps process manufacturers streamline operations by expanding the number of addressable use cases within our user-friendly software environment. It helps users generate quick insights into the relationship between production events and features new ways to extract aggregated information from sensor-generated data. With this update, companies can build an enhanced data layer for extracting ad-hoc insights and develop solutions that provide value throughout the factory, from the control room to the board room.
If your company has real-time analytics news, send your announcements to [email protected].
In case you missed it, here are our most recent previous weekly real-time analytics news roundups:
- Real-time Analytics News for the Week Ending March 30
- Real-time Analytics News for the Week Ending March 23
- Real-time Analytics News for the Week Ending March 16
- Real-time Analytics News for the Week Ending March 9
- Real-time Analytics News for the Week Ending March 2
- Real-time Analytics News for the Week Ending February 24
- Real-time Analytics News for the Week Ending February 17
