Month: September 2018

  • Win With AI: IBM Cloud Private for Data & Watson Studio

    The IBM Win With AI Summit was a powerful event for IBM Business Partners and AI practitioners. Watch the video to learn what’s new with IBM Watson Studio and the all-new IBM Cloud Private for Data. If you’ve ever wanted one view of your customer or data management with strong governance built in, you’ll want…

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  • You Ask, I Answer: The Promise of AI and Data for Marketing

    Denis asks, “What is the big promise that AI holds when it comes to data? What types of solutions do you see emerging from this that will help marketers?” Look at the data science lifecycle. Every repeatable choice along this lifecycle has at least some portion which is a repetitive, predictable process. Where we’ll see…

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  • Change vs. Improvement

    I often receive intriguing questions about various topics. Recently, someone asked me about the difference between change and improvement. At first glance, these concepts may appear to be similar, but upon closer inspection, they are quite distinct from each other. Change involves doing something different, while improvement refers to getting better at doing the same…

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  • The Difference Between Change and Improvement

    I was asked recently, “what is the difference between change and improvement?” This is an intriguing question, because at first, it seems like improvement should be a subset of change. But is it? Change and improvement are two different things. Change is doing something different. Improvement is is getting better at doing the same thing.…

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  • You Ask, I Answer: Marketing Tasks and AI

    Denis asks, “What existing marketing processes or tasks do you expect AI to help speed up or eliminate?” Some tasks will indeed be sped up. Others will be replaced entirely, and there’s a straightforward way to identify what will be replaced. Learn what tasks will and won’t be eliminated by AI. Watch the video for…

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  • Win With AI: How to Create an AI Strategy

    As part of IBM’s Win With AI Summit, we’re answering some of the most common questions about AI. Today, we tackle the most fundamental: how do we create an AI strategy? Watch the video to learn the three-part process and what you’ll need to succeed with an AI implementation. In NYC on September 13? Attend…

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  • #FridayFeeling: How Conference Organizers Should Manage Attendees and Sessions

    At events and conferences, organizers are challenged by two types of attendees, the structured and the free-spirited. The structured want session registration and planning out their schedules weeks in advance. The free-spirited want to go where the spirit takes them. Pleasing both is exceptionally difficult. Watch the video to learn how companies with mega-events like…

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  • You Ask, I Answer: How to Decide What Content to Create?

    Pat asks, “How do you decide what content to create? How do you choose?” Choose to create content the same way that Google and other algorithms think about it. Relevance, freshness, and diversity. Choose to create with a specific audience member in mind. Choose to create using predictive analytics. Watch the video for full details.…

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  • You Ask, I Answer: Cleaning Email Lists

    Krzysztof asks, “How are you cleaning your email lists? What tools, tips, etc.?” Cleaning email lists and keeping them clean is vitally important. I recommend a 4-step process: Form validation Role removal and misspelling repair Bounce processing Service validation Watch the video for full detail. Can’t see anything? Watch it on YouTube here. Listen to…

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  • #WinWithAI: How To Leverage The Value of Data

    Melissa asks, “How can companies leverage data — their most valuable asset — as a competitive advantage?” As part of the IBM #WinWithAI Summit, this is a critical question. What are the uses of data? Data as the end product, for analytics and insights Data as the source for training machine learning models Data as…

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