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Forrester evaluated Watson Explorer's powerful machine learning and cognitive search capabilities with leading text analytics vendors. Watson Explorer is recognized as a leader for its accuracy of analytics, breadth and depth of functionality, ease of customization and scalability. Read the report to learn how Watson Explorer can help your organization gain actionable insights easily. Learn more.
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Read Machine Learning for Dummies so you can understand machine learning fundamentals, make sense out of machine learning algorithms, and build your data science team to take advantage of this new technology. Learn more.
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Read this IBM Analytics paper to find out how to handle these drawbacks by getting the right data tools to the right people and leveraging popular open source tools with IBM® SPSS® Modeler software. Learn more.
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Read this Forrester report to learn: Three ways that data, models and algorithms can go wrong, real-world examples of model-driven bias, Forrester’s framework for ensuring that models are “FAIR”.
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This report evaluated the most significant conversational computing platforms, diving into each vendor’s current offering and strategy and including customer feedback. IBM was cited for its developer-friendly tools and enterprise expertise requirements, which give developers access to the tools and technologies they need, while providing industry and enterprise support for their businesses.
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Now that you’ve proven that AI will meet your business needs, it’s time to get started. You are about to embark on a journey that will transform your business and will bring tremendous value to your clients. This episode will outline how to make the beginning of your journey that much easier with three simple steps: 1. Creating your strategy 2. Building the team 3. Preparing your data
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Before making the decision to begin the Conversational AI journey, you must understand the drivers and approaches for building a conversational solution. This will help you define your strategy. This episode will give you insight into what conversational AI is, the best use cases for AI in customer services, and how to prove that your solution will positively impact your organization.
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Be confident in your AI. IBM Watson OpenScale helps solve AI’s black box problem by providing insights into AI health, recommending next steps to improve outcomes, and orchestrating tasks to remediate issues around performance, accuracy, and fairness. Learn more.
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While the potential existential threat of artificial intelligence is well publicized, the threat of biased machine learning models is much more immediate. Customer insights (CI) pros must learn how to identify and prevent harmful discrimination in their models, or businesses will suffer reputational, regulatory, and revenue consequences. Learn more.
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Solving the Problem of "Black Box" AI. IBM is creating solutions designed to make AI processes and results more explainable, understandable and trustworthy to help tackle the problem of "black box" AI.
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DevOps has come a long way, and we see a tremendous increase in adoption in the recent years.
To surpass competition and stay ahead in the growth curve, it has become an essential component for IT organizations.
As per the recently released 2017 State of DevOps Report high performing organizations that effectively utilize DevOps principles, achieve higher levels of customer satisfaction and operational efficiency.
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This e-book details an architecture called agile integration, consisting of three technology pillars—distributed integration, containers, and APIs.