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How to create a robust digital transformation strategy

IBM Big Data Hub

Organizations are increasingly investing in digital transformation as a way to maintain or grow a competitive advantage. A tried-and-true way to approach digital transformation is to understand the relationship customers have with the product and the brand, where that relationship currently falls short, and how it can be improved.

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Intelligent Search – Strategies to Find What You Need

AIIM

According to AIIM research, 70% of AIIM members say that getting the right information, to the right person, at the right time is at the heart of their digital transformation challenge. This framework enables you to deliver Intelligent Search by integrating Artificial Intelligence (AI) with conventional enterprise search capabilities.

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

Now information technologies and the information revolution are again transforming society. The COVID-19 pandemic further accelerated the transformation from many years to just a couple of years. This 3-part series will discuss digital transformation (DT) from several perspectives. Artificial Intelligence.

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Beyond basics: Six tips for an exceptional customer service strategy

IBM Big Data Hub

Embrace technology While human representatives remain a critical component of any customer service strategy, technological advancements like artificial intelligence (AI) can help organizations serve more customers more effectively. Making customers happy upfront will lessen the impact should something go wrong in the future.

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Kofax Named to Constellation ShortList for Robotic Process Automation

Info Source

Irvine, CA, August 20, 2018 – Kofax ® , a leading supplier of software to automate and digitally transform information intensive processes, today announced the company has been named to the Constellation ShortList for Robotic Process Automation in Q3 2018. The Constellation ShortList is frequently updated as market conditions change.

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Chatbot examples: A beginner’s guide 

IBM Big Data Hub

More advanced chatbots use machine learning , artificial intelligence (AI) and generative AI technology to generate real-time responses based on user input. The bot will use intent recognition to decide and its internal logic and algorithms will determine the appropriate response based on the recognized intent.

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Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

Question & Answering : Based on a set of documents or dynamic content, create a question-answering feature grounded on product specific content, such as building a Q&A resource from a broad knowledge base to provide customer service assistance.