KNIME

KNIME to Host Annual Spring Summit in Austin, Texas, April 15-17

Retrieved on: 
Friday, April 5, 2024
Professional Services, Data Management, Data Analytics, Technology, Other Technology, Software, Artificial Intelligence, Organization, Conference, Data science, Convention center, Siemens Healthineers, KNIME, AMD, Bird, Machine learning, Tutoring

KNIME , the software company focused on making working with data intuitive, will hold its annual KNIME Spring Summit conference in Austin, Texas, April 15-17, at the AT&T Hotel and Conference Center.

Key Points: 
  • KNIME , the software company focused on making working with data intuitive, will hold its annual KNIME Spring Summit conference in Austin, Texas, April 15-17, at the AT&T Hotel and Conference Center.
  • KNIME Spring Summit offers three days of customer presentations, panels, and on-site trainings and workshops focused on using KNIME software for varying use cases across multiple industries.
  • The onsite training sessions created a momentum that would not have been possible in a virtual setting.
  • Having direct access to peers and trainers is the best way of learning.”
    For those interested in registering for the live or virtual Spring Summit, please visit knime.com/spring-summit-2024 .

Predictive Analytics Market size to grow by USD 21.60 billion from 2022 to 2027, The growing need to detect fraud and scams is a key factor driving market growth, Technavio

Retrieved on: 
Friday, March 1, 2024
Cloud, Social media, Consumer, Qlik, SAS Institute, SAP, Health, IBM, Internet of things, Transport, Growth, Cloud computing, Teradata, Oracle Corporation, Big data, Data, KNIME, Hitachi, Amazon (company), Salesforce, FICO, Organization, Microsoft, BFSI, CX, Face, Retail

Banking and financial institutions can predict consumer behavior and preferences through predictive analytics.

Key Points: 
  • Banking and financial institutions can predict consumer behavior and preferences through predictive analytics.
  • Additionally, historical data allows business leaders to enter the predictive analytics market, such as Microsoft Corp., Oracle Corp., and others to make informed decisions.
  • View the FREE Sample Report
    The Data Analytics Outsourcing Market size is estimated to grow at a CAGR of 32.59% between 2022 and 2027.
  • One of the key factors driving the data analytics outsourcing market growth is the focus on reducing operational costs.

New KNIME Community Hub Features Enable Automated Running of Analytics Workflows

Retrieved on: 
Thursday, February 15, 2024
Professional Services, Data Management, Data Analytics, Apps, Applications, Technology, Software, Internet, KNIME, Data science, Software as a service

Today KNIME , the software company focused on making working with data intuitive, announced a new software as a service (SaaS) offering that lets users run and automate workflows on KNIME Community Hub.

Key Points: 
  • Today KNIME , the software company focused on making working with data intuitive, announced a new software as a service (SaaS) offering that lets users run and automate workflows on KNIME Community Hub.
  • Over the years, KNIME Community Hub has brought together a thriving global community around the open source platform with users upskilling, sharing and collaborating on thousands of data science solutions.
  • Today, KNIME announced the addition of new features to KNIME Community Hub.
  • “With the new SaaS features, we now allow the community to collaborate in small teams and easily execute their workflows in the cloud.”
    Teams that want a dedicated KNIME Hub set up on their own infrastructure can opt for KNIME Business Hub, the dedicated software for enterprises.

KNIME Releases Improved UI, Enhanced AI Assistant, Modernized Scripting Experience with AI, and More

Retrieved on: 
Thursday, December 7, 2023
Data Management, Technology, Apps, Applications, Artificial Intelligence, Software, Documentation, Learning, Learning curve, Generic, UI, KNIME, Organization, Nature, Data science, Python

KNIME , the software company focused on making working with data intuitive, today announced KNIME Analytics Platform 5.2, the latest release of its open-source platform.

Key Points: 
  • KNIME , the software company focused on making working with data intuitive, today announced KNIME Analytics Platform 5.2, the latest release of its open-source platform.
  • KNIME Analytics Platform is free and open in nature, making data science and analytics accessible to virtually everyone via its low-code/no-code interface.
  • To enable all users to do more with their data, KNIME Analytics Platform 5.2 features enhancements to the KNIME AI Assistant as well as a significantly improved user interface based on community feedback, amongst others.
  • This release introduces a new editor with a totally modernized UI for the Python scripting node and a new Generic ECharts View node, giving users an enhanced scripting experience.

KNIME Launches AI Learnathon to Help Users Build Custom AI-Powered Data Apps – No Coding Required

Retrieved on: 
Wednesday, November 29, 2023
Education, Apps, Applications, Technology, Software, Artificial Intelligence, Training, Steps, City, Metadata, Web browser, KNIME, LLM, Online shopping, Dairy, Evangelism

KNIME , the software company focused on making working with data intuitive, is excited to announce the launch of its "AI Learnathon" series.

Key Points: 
  • KNIME , the software company focused on making working with data intuitive, is excited to announce the launch of its "AI Learnathon" series.
  • KNIME’s AI Learnathon series will enable virtual and in-person users to familiarize themselves with and unlock the full capabilities and value of KNIME Analytics Platform 5.1, which launched in July 2023.
  • Participants will learn how to leverage the nodes within KNIME’s AI extension as a framework to build custom large language model (LLM) chatbots on a custom knowledge base.
  • “The KNIME AI extension allows both experienced users and those new to genAI to learn to access and customize pre-existing AI models in record time.”
    For more information about KNIME or KNIME 5.1, please visit www.knime.com .

KNIME Launches AI Learnathon to Help Users Build Custom AI-Powered Data Apps – No Coding Required

Retrieved on: 
Thursday, November 23, 2023
Data Management, Apps, Applications, Technology, Other Technology, Software, Artificial Intelligence, Internet, Steps, City, Metadata, Web browser, KNIME, LLM, Online shopping, Dairy, Evangelism

KNIME , the software company focused on making working with data intuitive, is excited to announce the launch of its "AI Learnathon" series.

Key Points: 
  • KNIME , the software company focused on making working with data intuitive, is excited to announce the launch of its "AI Learnathon" series.
  • KNIME’s AI Learnathon series will enable virtual and in-person users to familiarize themselves with and unlock the full capabilities and value of KNIME Analytics Platform 5.1, which launched in July 2023.
  • Participants will learn how to leverage the nodes within KNIME’s AI extension as a framework to build custom large language model (LLM) chatbots on a custom knowledge base.
  • “The KNIME AI extension allows both experienced users and those new to genAI to learn to access and customize pre-existing AI models in record time.”
    For more information about KNIME or KNIME 5.1, please visit www.knime.com .

AI Toolkit Market worth $91.6 billion by 2028 - Exclusive Report by MarketsandMarkets™

Retrieved on: 
Friday, October 27, 2023
Meta Platforms, Meta, Nvidia, Microsoft, Organization, Research, R, Software, Growth, NVIDIA, Infosys, Microsoft Windows, Risk management, Partnership, Thales Group, Vertical, KNIME, AWS, Algorithm, Library, IBM, Deep learning, BFSI, Retail, Sales, Medical device, Adobe, Salesforce, Intel, AI, Oracle

The predictive analytics capabilities offered by AI toolkits serve as a driving force for the AI Toolkit Market within the BFSI sector.

Key Points: 
  • The predictive analytics capabilities offered by AI toolkits serve as a driving force for the AI Toolkit Market within the BFSI sector.
  • The integration and customization services offered within the AI Toolkit Market stand out as a major driver.
  • The demand for AI toolkits tailored for various languages and scripts emerges as a distinctive driver in the Asia Pacific AI Toolkit Market.
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the AI Toolkit Market.

AI Toolkit Market worth $91.6 billion by 2028 - Exclusive Report by MarketsandMarkets™

Retrieved on: 
Friday, October 27, 2023
Meta Platforms, Meta, Nvidia, Microsoft, Organization, Research, R, Software, Growth, NVIDIA, Infosys, Microsoft Windows, Risk management, Partnership, Thales Group, Vertical, KNIME, AWS, Algorithm, Library, IBM, Deep learning, BFSI, Retail, Sales, Medical device, Adobe, Salesforce, Intel, AI, Oracle

The predictive analytics capabilities offered by AI toolkits serve as a driving force for the AI Toolkit Market within the BFSI sector.

Key Points: 
  • The predictive analytics capabilities offered by AI toolkits serve as a driving force for the AI Toolkit Market within the BFSI sector.
  • The integration and customization services offered within the AI Toolkit Market stand out as a major driver.
  • The demand for AI toolkits tailored for various languages and scripts emerges as a distinctive driver in the Asia Pacific AI Toolkit Market.
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the AI Toolkit Market.

KNIME & ESG’s State of Data Science and Machine Learning Report Highlights Critical Opportunities for More Effective AI & ML

Retrieved on: 
Wednesday, October 11, 2023
Software, Data Analytics, Artificial Intelligence, Data Management, Professional Services, Technology, Apps, Applications, Other Technology, Investment, Data science, KNIME, Machine learning, ESG, Yoy, AI, Organization, Growth, MLOps, Research, ML, Medical device, Marketing, Management, Cryptocurrency

The State of Data Science and Machine Learning Report shows how organizations are prioritizing, investing in and operationalizing data science, machine learning and AI, and specifically cites the most pressing challenges in the data science process and how to address them.

Key Points: 
  • The State of Data Science and Machine Learning Report shows how organizations are prioritizing, investing in and operationalizing data science, machine learning and AI, and specifically cites the most pressing challenges in the data science process and how to address them.
  • That’s why KNIME and research firm ESG surveyed more than 350 data scientists, business and IT decision makers involved with data science and machine learning technology and processes to show the current state of AI and machine learning operations (MLOps) initiatives.
  • The report identifies organizations’ investment plans, key objectives, stakeholders, priorities, and challenges relating to their current data science and machine learning initiatives.
  • To see an eBook with a summary of the findings from the State of Data Science & Machine Learning survey, please visit here .

Predictive Analytics Market to grow by USD 21.60 billion from 2022 to 2027, The growing need to detect fraud and scams is a key factor driving market growth.- Technavio

Retrieved on: 
Wednesday, September 20, 2023
Hitachi, Amazon (company), Health, Salesforce, ISO, Consumer, Teradata, SAP, Privacy, SAP SE, Certification, Oracle Corporation, Qlik, Microsoft, KNIME, FICO, Nippon Telegraph and Telephone, Analysis, Data, ISO 9001:2015, SE, BFSI, Transport, Fraud, IBM, SAS Institute, Retail, Geography

The potential growth difference for the predictive analytics market between 2022 to 2027 is USD 21.60 billion, according to Technavio.

Key Points: 
  • The potential growth difference for the predictive analytics market between 2022 to 2027 is USD 21.60 billion, according to Technavio.
  • The growing need to detect fraud and scams is a key factor driving market growth.
  • The need for fraud detection in the social and mobile world is driving the predictive analytics market.
  • This has led to growing concern about these threats, prompting businesses across different industries to adopt predictive analytics in their business processes.