Webinar On-Demand
Linda Yates: President of Mach49, Author of The Unicorn Within: How Companies Can Create Game-Changing Ventures at Startup Speed, Public Company Board Member and Public Company CEO. In her book, The Unicorn Within: How Companies Can Create Game-Changing Ventures at Startup Speed, Yates shares how leaders of internal startups can be successful and how legacy organizations can create venture factories. Her prescriptions provide a formula for legacy firms to win against Silicon Valley startups. Yates says disruption is not inevitable: Although existing companies have built-in advantages of ideas, capital, intellectual property, customers, goodwill, global reach, and homegrown talent, what’s often missing is a way to catalyze talent to create an internal growth engine. In this session with Linda Yates, president of Mach49, you will: 🦄 Hear how you can build a venture factory 🦄 Learn how to nurture startups that compete with Silicon Valley 🦄 Learn how to integrate your ventures into your business Watch Now!
Alation Brief
Most of us are familiar with Google Maps, which shows the path to our destination with specific and timely directions from start to finish. Layers provide additional information like points of interest and traffic details such as construction or traffic volume ahead of time, which can help change our route and save time. The user experience makes it easy for anyone to use.
Alation Brief
Learn how Alation Anywhere brings the power of data intelligence directly to your fingertips - right in your browser. Our integrations now extend beyond Excel, Teams, Slack, Tableau, and Google Sheets to include Chrome. With the Alation Anywhere Chrome Extension, you can search, preview, and trust critical data without leaving Chrome, enabling faster, more informed decisions across your organization and seamlessly fitting into your workflow.
Webinar On-Demand
In today’s rapidly evolving digital landscape, effective data governance is critical for organizations striving to manage diverse and numerous data types. Ensuring the trustworthiness of AI/ML models requires robust governance of both inputs and outputs.