How organizations are sharpening their skills to better understand and use AI

To successfully implement AI technologies, companies need to take a holistic approach toward retraining their workforces. Continuous learning is critical to business success, but providing employees with an easily accessible, results-driven solution they can access from wherever they are, whenever they need it, is no easy feat. Additionally, delivering valuable content in a variety ofContinue reading “How organizations are sharpening their skills to better understand and use AI”

One simple graphic: Researchers love PyTorch and TensorFlow

Interest in PyTorch among researchers is growing rapidly. In a recent survey—AI Adoption in the Enterprise, which drew more than 1,300 respondents—we found significant usage of several machine learning (ML) libraries and frameworks. About half indicated they used TensorFlow or scikit-learn, and a third reported they were using PyTorch or Keras. I recently attended anContinue reading “One simple graphic: Researchers love PyTorch and TensorFlow”

You’ll want Nexar’s newly released Live Map for your city

Extracting and exposing valuable insights to enable smart cities and many other applications. I recently had the privilege of getting a preview of Nexar’s Live Map, from my friend, Nexar’s CTO and co-founder Bruno Fernandez-Ruiz. Nexar uses off-the-shelf smartphones and dash-cams, sophisticated data ingestion, data processing, sensor fusion, and machine learning software to realize theirContinue reading “You’ll want Nexar’s newly released Live Map for your city”

RISELab’s AutoPandas hints at automation tech that will change the nature of software development

Neural-backed generators are a promising step toward practical program synthesis. There’s a lot of hype surrounding AI, but are companies actually beginning to use AI technologies? In a survey we released earlier this year, we found that more than 60% of respondents worked in organizations that planned to invest some of their IT budgets intoContinue reading “RISELab’s AutoPandas hints at automation tech that will change the nature of software development”

AI and machine learning will require retraining your entire organization

To successfully integrate AI and machine learning technologies, companies need to take a more holistic approach toward training their workforce. In our recent surveys AI Adoption in the Enterprise and Machine Learning Adoption in the Enterprise, we found growing interest in AI technologies among companies across a variety of industries and geographic locations. Our findingsContinue reading “AI and machine learning will require retraining your entire organization”

Enabling end-to-end machine learning pipelines in real-world applications

The O’Reilly Data Show Podcast: Nick Pentreath on overcoming challenges in productionizing machine learning models. In this episode of the Data Show, I spoke with Nick Pentreath, principal engineer at IBM. Pentreath was an early and avid user of Apache Spark, and he subsequently became a Spark committer and PMC member. Most recently his focusContinue reading “Enabling end-to-end machine learning pipelines in real-world applications”

The quest for high-quality data

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. By Ihab Ilyas and Ben Lorica. “AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. There has been a significant increase in our ability to build complex AI models for predictions,Continue reading “The quest for high-quality data”

AI adoption is being fueled by an improved tool ecosystem

We now are in the implementation phase for AI technologies. In this post, I share slides and notes from a keynote that Roger Chen and I gave at the 2019 Artificial Intelligence conference in New York City. In this short summary, I highlight results from a — survey (AI Adoption in the Enterprise) and describeContinue reading “AI adoption is being fueled by an improved tool ecosystem”

How AI and machine learning are improving customer experience

From data quality to personalization, to customer acquisition and retention, and beyond, AI and ML will shape the customer experience of the future. By Ben Lorica and Mike Loukides. What can artificial intelligence (AI) and machine learning (ML) do to improve customer experience? AI and ML already have been intimately involved in online shopping since, well,Continue reading “How AI and machine learning are improving customer experience”

It’s time for data scientists to collaborate with researchers in other disciplines

The O’Reilly Data Show Podcast: Forough Poursabzi Sangdeh on the interdisciplinary nature of interpretable and interactive machine learning. In this episode of the Data Show, I spoke with Forough Poursabzi-Sangdeh, a postdoctoral researcher at Microsoft Research New York City. Poursabzi works in the interdisciplinary area of interpretable and interactive machine learning. As models and algorithmsContinue reading “It’s time for data scientists to collaborate with researchers in other disciplines”