Latest Research

  • For Application Development & Delivery Professionals

    REPORT: Predictions 2019: Software

    Software Innovation Builds Upon Cloud, Collaboration, AI, And More

    November 8, 2018 Christopher Condo, Randy Heffner, Duncan Jones, Rob Koplowitz, Diego Lo Giudice, John R. Rymer, Margo Visitacion

    Making predictions is hazardous, particularly about the future. Nevertheless, our intrepid software analyst team offers a handful of predictions about important changes in development tools and processes, software pricing policies, and more. Application development and delivery (AD&D) pros should read this report to prepare for inflection points coming in 2019.

  • For B2C Marketing Professionals

    REPORT: Predictions 2019: Media

    Five Events Will Reshape The Media Industry

    November 7, 2018 Collin Colburn, Susan Bidel, Joanna O'Connell, Jessica Liu, Jim Nail, Joe Stanhope

    The media industry has been continuously disrupted since the beginning of this decade. In 2019, change will continue: Digital ad giants Facebook and Google will attempt to get even bigger, and unexpected events will push the advertising and media industry into new territories. This report lays out Forrester's five major predictions for the media industry in 2019, giving B2C marketers time to prepare.

  • For B2C Marketing Professionals

    REPORT: The Forrester Wave™: Creative Advertising Technologies, Q4 2018

    The 10 Providers That Matter Most And How They Stack Up

    November 5, 2018 Joanna O'Connell, Susan Bidel

    In our 31-criterion evaluation of creative advertising technology (adtech) providers, we identified the 10 most significant ones — Adacado Technologies, Adform, Celtra, Clinch, Flashtalking, Google, Jivox Corporation, RevJet, Sizmek, and Thunder — and researched, analyzed, and scored them. This report shows how each provider measures up and helps B2C marketing professionals make the right choice.

  • For Customer Insights Professionals

    REPORT: Evoke Trust With Explainable AI

    Balance Transparency With Accuracy To Increase Stakeholder Adoption And Mitigate Risk

    November 1, 2018 Brandon Purcell, Rob Koplowitz, Christopher McClean

    The promise of AI is rapidly materializing; however, not all AI is created equal. Some machine learning algorithms are transparent, allowing brands to see how they make decisions, while others are opaque, obscuring the inner logic of models. Still others are transparent yet so convoluted that the results are not easily explainable. This report highlights the evolving area of explainable AI and how customer insights (CI) pros should consider the tradeoffs in risk, accuracy, and applicability when they determine the level of explainability in AI.

  • For Application Development & Delivery Professionals

    REPORT: What Software Developers Don't Know About Neural Networks Could Hurt Them

    How To Balance The Risks And Benefits Of This Powerful Technology

    November 1, 2018 Rob Koplowitz, Brandon Purcell, Christopher McClean

    The promise of AI is rapidly materializing. Capabilities once available only to data scientists are now easily accessible by app developers. The results are compelling, but they also come with risk. Developers must approach opaque AI models like neural networks that cannot reveal the logic behind a decision or insight with caution — and with support from risk and compliance pros. Application development and delivery (AD&D) pros should read this report to learn how to balance risk and reward with these powerful deep learning techniques.

View all research

Analysts Who Cover Google

View all related analysts

Related Vendors

Related Topics