Microsoft Fabric: Automating Fabric Capacity Scaling with Azure Logic Apps
BI Insight
FEBRUARY 8, 2024
A customer who read my previous blog asked me “Can we use a similar method to scale up and down before and after specific workloads?”
BI Insight
FEBRUARY 8, 2024
A customer who read my previous blog asked me “Can we use a similar method to scale up and down before and after specific workloads?”
Smart Data Collective
FEBRUARY 13, 2024
Whether you’re a one-person operation or the leader of a growing small business, utilizing data analysis is a great way to improve efficiency, boost productivity, and scale to new heights. While data analysis may have been reserved for huge corporations with large budgets in the past, today, it’s more accessible than ever before.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Dataversity
NOVEMBER 20, 2023
When my company commissioned an independent third-party survey of more than 2,500 AI practitioners across industries and geographies, […] The post Don’t Dawdle, Don’t Dabble – Scale AI, Now appeared first on DATAVERSITY.
Dataversity
OCTOBER 4, 2022
The post Scaling Data Access Governance appeared first on DATAVERSITY. However, this ability comes with potential consequences. Constantly evolving data privacy legislation and the impact of major cybersecurity breaches has led to the call for responsible data […].
Advertiser: ZoomInfo
Key topics will include: Getting started: the "crawl" phase of ABM and its boundaries Unlocking the potential of the "run" phase and using the right strategy for scaling your efforts The essential components of an effective ABM tech stack within each stage Real-world insights from NetSPI's ABM journey with MarketingOS
Simplilearn
MARCH 21, 2024
The Scaled Agile Fr. The foundational aspect of SAFe is its proven, integrated, and stable set of lean, agile, systems thinking, and DevOps practices designed to help the organization become culturally agile. Read More.
Dataversity
OCTOBER 13, 2022
Everyone wants to increase the adoption of their AI programs, but there are several “chicken and egg” problems to overcome: How do we get the resources to build out the technical infrastructure required to use AI at scale, when we have not proven the value yet? The post Getting to AI Adoption at Scale appeared first on DATAVERSITY.
Advertisement
Unfortunately, even the most sophisticated organizations often lack clear strategies and processes for collecting and managing the voice of the customer at scale—or worse, they simply ignore this valuable source of data. What better source of insight into what those are and how they’re changing than your customers themselves?
Advertiser: ZoomInfo
Nurturing leads through your sales funnel is a daunting task for many business development teams, especially at the scale required to achieve lofty growth goals. But personalized prospecting is possible at scale with the right resources in place. At ZoomInfo, we’ve found that a rock-solid go-to-market playbook is key.
Advertisement
Digital Process Automation (DPA) is now a strategic priority, with organizations racing to digitize at scale and process optimization becoming a business-critical skill to increase operational efficiency and resilience. Agile automation is the new norm, with businesspeople driving responsive and rapid automation.
Advertisement
But the sheer scale of what's available has many of us at a loss for how to best harness it all to measure product success. We’re all facing a major paradox. Product teams have access to tons of data these days—volumes more than we’ve ever had before. This situation has become colloquially known as “analysis paralysis.”
Speaker: Hannah Chaplin - Product Marketing Principal at Pendo & Steve Cheshire - Product Manager at Pendo
Best practices for measuring and analyzing customer feedback at scale. How to assess customer value. Feedback implementation frameworks that increase the precision and accuracy of the features being built. August 11, 2022 at 9:30 am PDT, 12:30 pm EDT, 5:30 pm GMT
Speaker: Dr. Sunil Kumar Vuppala, Director - Data Science, Ericsson R&D, India
The virtuous cycle of AI and how to scale up. Why there is a need for Edge AI and Green AI. How to disrupt your current culture and become more data-driven. How to make data FAIR. The trade-offs with the PLASTER+SET framework. This is an exclusive session with Dr. Sunil that you won't want to miss!
Let's personalize your content