Generative AI in general is much more than just a tech buzzword; it's a tool that's revolutionizing how businesses operate and grow. Whether you're a small business or a multinational corporation, AWS and Azure offer the tools you need to leverage Generative AI effectively. Here’s how it’s making a real difference.
Read MoreWhile Watsonx Orchestrate comes with several pre-configured skills with popular applications, the true strength of the platform is that developers can integrate new apps and skills to build ever more complex automations for unique business cases. This article will take you through adding a skill into Orchestrate.
Read MoreAnthropic just launched their newest model within its Claude family – Claude 3.5 Sonnet. This model builds on the capabilities of Claude 3 which was released earlier this year. The new model is available to Claude users right now, both on the web and within the iOS app.
Read MoreIn today's data-driven world, businesses gather vast amounts of information from various sources like customer interactions, market research, and internal operations. However, this data often gets stored in separate systems or departments, also known as systems of record, creating "data silos."
Read MoreArtificial Intelligence (AI) has emerged as a transformative force, with Generative AI (GenAI) standing at the forefront of this revolution. GenAI represents a significant leap forward for humanity, promising to enhance our capabilities and drive innovation across various domains. However, to harness its full potential, we must prioritize security and governance, ensuring ethical implementation and steering this powerful technology in the right direction.
Read MoreData and analytics have undergone a profound transformation in recent years. The massive growth of cloud computing, big data and the proliferation of cutting-edge analytics tools have unlocked previously unattainable insights into complex business processes. However, as the data landscape continues to evolve, staying ahead of the curve has become a challenge for even the most seasoned data professionals. Enter ChatGPT and other advanced language model technologies - poised to revolutionize the way data and analytics are performed by providing a new level of automation, accuracy, and efficiency. Get ready to be blown away as you discover how ChatGPT is set to transform the world of data and analytics.
Read MoreKai Ming, a non-profit agency providing comprehensive early care and education services for underprivileged children, and PMsquare, a data analytics technology and consulting firm, are excited to announce that the PMsquare Children’s Center has officially opened its doors on May 13th in Mission Bay, San Francisco.
Read MoreWith the inevitable, ever-tighter AI integration and infusion with IBM’s products, analytics practitioners need to understand the AI pillars and explainability principles that IBM espouses. These principles should be understood by CA and PA developers, administrators, and product owners, as they will inform the future direction of the AI components of each core product. Most importantly, it will be necessary for doers in our space to use the explainability toolkit in order to explain why models (and integrated, downstream components) predict/project/suggest/decide what they do to our business partners.
Read MoreThe recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this series, we’re examining the most common ways AI projects will fail for companies at the beginning of your AI journey. Be on the lookout for these failures – and ways to remediate or prevent them – in your own AI initiatives.
Read MoreThe recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this series, we’re examining the most common ways AI projects will fail for companies at the beginning of your AI journey. Be on the lookout for these failures – and ways to remediate or prevent them – in your own AI initiatives.
Read MoreThe recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this series, we’re examining the most common ways AI projects will fail for companies at the beginning of your AI journey. Be on the lookout for these failures – and ways to remediate or prevent them – in your own AI initiatives.
Read MoreData requirements are the technical specifications of what data you will need for your project, who is responsible for that data, where and how it is stored and used, and what measures you’ve taken to protect and optimize it for usage.
Read MoreThe Data and AI Forum was packed full of keynotes, hands-on labs, product roadmaps, and much more. Some of our consultants attended the conference have collaborated with each other to share the topics that caught their attention with you. Enjoy.
Read MoreThe recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this series, we’re examining the most common ways AI projects will fail for companies in the beginning of your AI journey. Be on the lookout for these failures – and ways to remediate or prevent them – in your own AI initiatives.
Read MoreThe recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this series, we’re examining the most common ways AI projects will fail for companies in the beginning of your AI journey. Be on the lookout for these failures – and ways to remediate or prevent them – in your own AI initiatives.
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