Mike Gualtieri

In our inaugural evaluation, The Forrester Wave™: AI Foundation Models For Language, Q2 2024, we break down large language model (LLM) model offering, strategy, and market presence across 21 criteria for 10 providers. Get a preview of the report including four things you should be looking for in a model here.

The market for AI foundation models is still in its infancy. While enterprises still rely mostly on pretrained large language models for AI needs, the market is evolving and changing quickly. Tech leaders must understand how to navigate it.

Forrester's new Wave report evaluates and ranks the top AI infrastructure solutions. Get three key insights from our analysis in this preview of the report.

Generative AI’s meteoric rise can be compared to the launch of social media, the smartphone, and the internet. The technology’s wide applicability across industries and occupations will drive massive growth, Forrester’s new forecast shows.

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 […]