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Why a data-first culture is key to unlocking value from AI in insurance

CIO

Data is the lifeblood of the modern insurance business. Yet, despite the huge role it plays and the massive amount of data that is collected each day, most insurers struggle when it comes to accessing, analyzing, and driving business decisions from that data. There are lots of reasons for this.

Insurance 197
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10 ways to kill your IT culture

CIO

Transformational CIOs recognize the importance of IT culture in delivering innovation, accelerating business impacts, and reducing operational and security risks. Research on creating a culture of high-performance teams suggests there’s a disconnect between how leaders perceive their cultures compared to how individual contributors view them.

Culture 211
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Building a Digital-First Culture: The Chief Digital Officer’s Blueprint

N2Growth Blog

The CDO’s mandate extends beyond mere technology implementation; it encompasses the development of comprehensive digital strategies and the cultivation of a culture that embraces continuous innovation. This includes fostering a culture that values innovation and agility. Prioritizing customer experience is crucial.

Culture 161
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Avery Dennison takes culture-first approach to AI transformation

CIO

Avery Dennisons culture-first approach to AI adoption has paid off considerably in productivity and financial gains for the global labeling and RFID solutions manufacturer. Such improvements, Colisto says, are expected to save the company millions of dollars annually in working capital and generating operational efficiencies.

Culture 158
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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. Given how data changes fast, there’s a clear need for a measuring stick for data and analytics maturity. Workshop video modules include: Breaking down data silos. Developing a data-sharing culture.

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Leading the digital charge: Inspiring innovation and fostering a culture of excellence

CIO

This involves the integration of digital technologies into its planning and operations like adopting cloud computing to sustain and scale infrastructure seamlessly, using AI to improve user experience through natural language communication, enhancing data analytics for data-driven decision making and building closed-loop automated systems using IoT.

Culture 167
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See clearly, spend wisely: The power of data platform observability

Xebia

Modern Pay-As-You-Go Data Platforms: Easy to Start, Challenging to Control It’s Easier Than Ever to Start Getting Insights into Your Data The rapid evolution of data platforms has revolutionized the way businesses interact with their data. The result? Yet, this flexibility comes with risks.

Data 130
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How to Scale a Data Literacy Program at Your Organization

Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at bol.com; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health

Join data & analytics leaders from Starbucks, Cardinal Health, and bol.com for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. In this webinar, you will learn about: Launching data literacy programs and building business cases.

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How Great Organizations Empower Customer Experience Teams

Speaker: Conference Speakers

Topics will include: Cultivating Operational Agility: Leadership, Culture, and How New Tech Like Headless, Composable/MACH and Low Code Change the Game. Customer Data Management for Employee Empowerment & Intelligent Experiences. Modern Customer Journey Tools & Practices for Deep Empathy and Team Alignment.

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Build Product Progress with a Strong Data Culture

Speaker: Nima Gardideh, CTO, Pearmill

Join Nima Gardideh, CTO of Pearmill, as he demonstrates how to build a strong data culture within your team, so everyone understands which metrics they should actually focus on - and why. Take advantage of internal and external data sources. Finally, he'll discuss what you should keep in mind when instrumenting your analytics.

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Quantifying a Culture of Innovation

Examining five years of anonymous data from over 6 million users in 170+ countries, Spigit has discovered that a culture of innovation can be measured – with a 99% statistical confidence level – by a metric called "ideation rate." Download the eBook now for an in-depth look at this groundbreaking study.

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Skyscanner's Journey to a "Continuous Improvement" Team Culture

Speaker: Ramsay Ashby

They shared what originally took them down this path, including the signs that change was needed and the impact it has had.

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How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer. In this webinar you will learn about: Making data accessible to everyone in your organization with their favorite tools.

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How King Crushes New Product Development using Data-Driven Insights

Speaker: Ian Thompson, Head of Business Intelligence at King, and Zara Wells, Strategic Customer Success Manager at Looker

Product Managers looking to leverage data to make informed product design decisions can learn a lot from renowned gaming company King, maker of Candy Crush and many other games - even if their product has seemingly no overlap with games. The key is the strategy and tools for accessing product data at the level that you'd like.

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All Method, No Madness: Guiding Agile Teams Through Research

Speaker: Amanda Stockwell, President of Stockwell Strategy

Many Product Managers feel quality user research can't keep up with the fast-paced culture of agile teams. Using the right strategy, your agile team will collect qualitative data, interpret it, and integrate it effectively. Data analysis and integration. In this webinar, she'll make specific suggestions around: Team makeup.