Social, Agile and Transformation
AUGUST 24, 2020
Data science requires questions, hypotheses, discovery, analysis, and recalibration. While the words I'm using to describe a data science are different than software development, the process and mindset are very applicable to agile methodologies. . And just like software development, data science requires a.
Social, Agile and Transformation
MARCH 20, 2023
I’ve led many successful application development, cloud migration, and data/analytics programs over the years, and I staffed most of them with a mix of employees, freelancers, and service providers.
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The Accidental Successful CIO
FEBRUARY 2, 2022
Which software development methodology is best? As a CIO I suspect that you are well aware that there are a number of different ways that your IT teams can go about developing software (and doing a lot of other things). It all begins with the waterfall approach to developing software. Say Hello To The New Guy: Agile.
Social, Agile and Transformation
JUNE 6, 2022
Picture yourself presenting a minimally viable product to executives, business stakeholders, and other subject matter experts to develop enthusiasm and garner their support for a new customer-facing innovation your team is working on. .
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2024 GEP Procurement & Supply Chain Tech Trends Report — explores the biggest technological trends in procurement and supply chain, from generative AI and the advancement of low-code development tools to the data management and analytics applications that unlock agility, cost efficiency, and informed decision-making.
Social, Agile and Transformation
DECEMBER 21, 2021
We’ve been practicing agile for twenty years since the manifesto was published and transitioning to DevOps cultures for about ten of them. And IT Ops predates these best practices going way back to the days of mainframes in pre-web data centers. We’re trying to improve customer experiences, develop digital products,
CIO Business Intelligence
MAY 3, 2024
The agile methodology, which facilitates collaboration between stakeholders, teams, and customers during software development, is fast gaining prominence in today’s enterprises. The Scrum master leads this process, providing guidance to the team and product owner and ensuring agile practices are followed by team members.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.
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In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs.
Speaker: Mickey Mantle, Founder and CEO at Wanderful Interactive Storybooks | Ron Lichty, Consultant: Interim VP Engineering, Author, Ron Lichty Consulting, Inc.
In order to be successful at delivering software, organizations need to become data-driven. Teams and their leadership need to leverage data to achieve better customer outcomes. Data-driven performance reviews help to align employee goals and team goals with company goals. How data-driven performance reviews do that.
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