What makes an organization AI-ready?
Discover the six pillars of an AI-ready organisation: openness, safety, openness, education, data, processes, and portfolios.
Archived articles. Kept as originally written, with their original dates.
Discover the six pillars of an AI-ready organisation: openness, safety, openness, education, data, processes, and portfolios.
From AI FOMO to AI Focus: Navigating the challenges of AI adoption in businesses, aligning AI with business strategies, and building focused AI leadership for success. Explore the journey to pragmatic AI-enabled business success.
Unpacking the hidden costs and pitfalls of subscription-based AI tooling in the Enterprise SaaS industry, revealing the challenges and solutions for successful AI integration in businesses.
Data Kinetic introduces its industry-focused healthcare suite, offering applications for fraud detection, social determinants of health, patient volume forecasting, length of stay prediction, automated visual pathology, and drug impact monitoring. Learn more about these innovative solutions.
Discover the key insights and strategies for creating a comprehensive business requirements document that uncovers the hidden needs of your target audience
Our latest blog post delves into AI-driven strategies for accurate emission measurement, predictive analytics, and effective reduction methods.
Discover how Data Kinetic leverages advanced applied AI and large language models to enhance ESG compliance in supply chains.
Discover the AI Impact Assessment Scale, a vital tool for AI governance and self-regulation, which enables to assess, classify, and promote AI practices.
Data Kinetic is an Austin-based company specializing in applied AI outcomes, and advisory services for industries such as Oil & Gas, Healthcare, and more.
Learn how leveraging common building blocks, such as AutoML, and foundational models like ChatGPT, can accelerate your AI application development process.
Learn why the author believes that while data literacy is important, it's not the be-all and end-all. Understand the pitfalls of focusing too much on data.
Explore the evolving role of AI in business strategy, the need for a Chief AI Officer, and how this new C-suite role can navigate organizational dynamics.