In today's rapidly evolving technological landscape, artificial intelligence (AI) governance has emerged as a critical ingredient for successful AI deployments. It helps build trust in the results of AI models, it helps ensure compliance with regulations and it is necessary to meet internal governance requirements. Effective AI governance must encompass various dimensions, including data privacy, model drift, hallucinations, toxicity and perhaps most importantly, bias. Unfortunately, we expect...
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Topics:
AI,
Generative AI,
AI and Machine Learning,
Machine Learning Operations,
Analytics and Data
As I’ve written recently, artificial intelligence governance is a concern for many enterprises. In our recent ISG Market Lens study on generative AI, 39% of participants cited data privacy and security among the biggest inhibitors to adopting AI. Nearly a third (32%) identified performance and quality (e.g., erroneous results), and an equal amount (32%) mentioned legal risk.
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Topics:
AI,
Generative AI,
AI and Machine Learning,
Machine Learning Operations,
Analytics and Data
As I explained in our recent Buyers Guide for Data Platforms, the popularization of generative artificial intelligence (GenAI) has had a significant impact on the requirements for data platforms in the last 18 months. While there is an ongoing need for data platforms to support data warehousing workloads involving analytic reports and dashboards, there is increasing demand for analytic data platform providers to add dedicated functionality for data engineering, including the development,...
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Topics:
Analytics,
natural language processing,
data platforms,
Generative AI,
AI and Machine Learning,
Model Building and Large Language Models,
Machine Learning Operations
Having just completed our AI Platforms Buyers Guide assessment of 25 different software providers, I was surprised to see how few provided robust AI governance capabilities. As I’ve written previously, data governance has changed dramatically over the last decade, with nearly twice as many enterprises (71% v. 38%) implementing data governance policies during that time. With all this attention on data governance, I had expected AI platform software providers would recognize the needs of...
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Topics:
AI,
Analytics & Data,
AI and Machine Learning,
Machine Learning Operations
I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well software providers’ offerings meet buyers’ requirements. The AI Platforms: Ventana Research Buyers Guide is the distillation of a year of market and product research by Ventana Research.
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Topics:
AI,
Generative AI,
Machine Learning Operations
Embracing artificial intelligence technologies opens doors for innovation and efficiency. Alongside these opportunities, however, come risks. Threat actors are keenly aware of the potential impact of AI systems and are actively exploring ways to manipulate them. In this Analyst Perspective, I explore the world of adversarial machine-learning threats and provide practical guidance for securing AI systems.
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Topics:
Digital Technology,
Digital Security,
Generative AI,
AI and Machine Learning,
DevOps and Platforms,
Model Building and Large Language Models,
Machine Learning Operations,
NIST,
Model Training
I recently wrote about the development, testing and deployment of data pipelines as a fundamental accelerator of data-driven strategies as well as the importance of data orchestration to accelerate analytics and artificial intelligence. As I explained in the recent Data Observability Buyers Guide, data observability software is also a critical aspect of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an...
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Topics:
Analytics,
data operations,
Analytics & Data,
Generative AI,
AI and Machine Learning,
Machine Learning Operations
I recently attended the Salesforce Trailblazer DX event to learn more about Salesforce’s artificial intelligence products and strategy. Fueled by generative AI, awareness and investment in AI seems to be exploding. ISG research shows that enterprises plan to nearly triple the portion of budgets allocated to AI over the next two years. This doesn’t come as a big surprise when you look at the outcomes enterprises are achieving: Of those that have invested in AI, more than 8 in 10 (84%) have had...
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Topics:
AI,
natural language processing,
Generative AI,
Computer Vision,
Model Building and Large Language Models,
Deep Learning,
Machine Learning Operations
Enterprises are increasingly recognizing the need to streamline operations for efficiency, agility and innovation. This has led to various “operations” or “Ops” initiatives, each focusing on a specific aspect of enterprise IT. From software development and data analytics to IT and cloud management, these Ops groups are transforming the way enterprises operate and compete.
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Topics:
Analytics,
Cloud Computing,
Digital Technology,
data operations,
digital finance,
Digital Security,
Observability,
Analytic Operations,
DevOps and Platforms,
ITOps,
CloudOps,
Machine Learning Operations,
MLOps,
SecOps,
ProjectOps,
AIOps,
NetOps,
DevSecOps,
SecFinOps