Mike Gualtieri

What are TuringBots? Hint: They will not replace you — not in the near future nor in the medium term. But they will augment your capabilities and make you look and work smarter.

Artificial intelligence applications are beginning to hit their stride, delivering end-to-end experiences for customers and employees that match or exceed human capacities. To help enterprises decide which AI/machine-learning (ML) platform to invest in, Forrester evaluated vendor platforms offered by Amazon Web Services, C3 AI, Cloudera, Databricks, Dataiku, DataRobot, Google, H2O.ai, IBM, Microsoft, Palantir, RapidMiner, RStudio, […]

Investing in new AI infrastructure in 2022? My colleague Mike Gualtieri and I published a new Forrester Wave™ report: The Forrester Wave™: AI Infrastructure, Q4 2021. This is a brand-new topic for Forrester Wave evaluations. Its purpose is to dig into the massive explosion of AI that is quickly transforming enterprises. We looked at the […]

The future of work for application development and delivery professionals will look very different. Learn how to prepare for it today.

Software Development, Past And Present Shortfalls As digital accelerates, so does the demand for business applications. And the complexity of building business applications is growing, despite all the innovations we’ve created during the past 20 years. Decision-makers have tried leveraging prepackaged business apps on-premises and now also in the cloud — only to find they […]

Forrester forecasts the AI software market will grow to $37 billion by 2025. Find out what's driving the growth and where the limitations are in this blog post.

Last week, AMD entered into agreement to acquire chip manufacturer Xilinx through a $35 billion all-stock transaction. This is the latest gargantuan M&A deal in the semiconductor market to focus on new opportunities in processing, after the NVIDIA-Arm announcement. The AMD-Xilinx partnership is meant to broaden AMD’s product portfolio, which focuses on high-performance CPUs and […]

Enterprises need more artificial intelligence and machine-learning (ML) solutions to drive value, transform their businesses, and outperform the competition. But firms find it challenging to navigate the lifecycle of developing, deploying, and maintaining their ML models and AI solutions. A key problem? They don’t have the right PAML (predictive analytics and machine learning) solutions that […]

AI is supposed to be the most powerful pattern detection and prediction technology in the world. It therefore begs the question: Can we use AI to predict future global pandemics far enough in advance to tamp them down or prevent them altogether?

Ugh. Everyone is talking about the citizen data scientist, but no one can define it (perhaps they know one when they see one). Here goes — the simplest definition of a citizen data scientist is: non-data scientist. That’s not a pejorative; it just means that citizen data scientists nobly desire to do data science but are […]

There are two types of AI. Watch the video below to learn which one you should forget about and which one you should go full steam ahead with. Have additional questions about enterprise AI? Schedule an inquiry to dive deeper, or check out my latest research here.

Machine-learning models may occasionally suggest an undesirable action. The action might be either biased or unethical — or just bad for business. Most of the time, the suggestion won’t be wrong. How can developers protect against these bad outcomes? It’s Simple You don’t have to do what the model tells you to do. If someone told […]

Join us in Orlando on December 4, 2018 for Forrester’s first-ever Data Strategy & Insights 2018 Forum. We are super excited to bring you razor-sharp focus to the power of data, analytics, and machine learning. Back to dancing, because that is our conference theme — “Insights To Action: For Real This Time.” Data is too often […]

Enterprise Mindsets About Data Are Changing Give me a dashboard. Give me a report. Give me better insights. If that’s your approach, it’s old-school and you’re falling behind. Leading enterprises have shifted their data sensibilities to action-oriented insights. “Interesting” is no longer the standard for business insights efforts. Instead, insights projects must draw a straight […]

Machine learning is an elemental core competency. It is a fundamental building block to AI. It gives enterprises the power to predict. Most importantly, it can make enterprises gain the agility of disruptive upstarts by injecting scalable intelligence into customer experiences, business process applications, and employee decisions. That’s where predictive analytics and machine learning (PAML) solutions […]

One breakthrough of AI is deep learning: a branch of machine learning that can uncannily identify objects in images, recognize voices, and create other predictive models by analyzing data. Deep learning can use regular CPUs, but for serious projects, data science and AI engineering teams must use AI chips such as GPUs that can handle […]

One breakthrough of AI is deep learning: a branch of machine learning that can uncannily identify objects in images, recognize voices, and create other predictive models by analyzing data. Deep learning can use regular CPUs, but for serious projects, data science and AI engineering teams must use AI chips such as GPUs that can handle […]

Written by Emily Miller, Senior Research Associate Stop Wasting Time More than half (54%) of global information workers are interrupted from their work a few times or more per month to spend time looking for or trying to get access to information, insights, and answers. The problem: Old keyword-based enterprise search engines of the past are obsolete. […]

At the highest conceptual level, deep learning is no different from supervised machine learning. Data scientists start with a labeled data set to train a model using an algorithm and, hopefully, end up with a model that is accurate enough at predicting the labels of new data that is run through the model. For example, […]