“Any technology that can reduce the costs of manual operations by 25-40% without changing existing systems, yet improve service and generate ROI in less than a year, can truly be described as transformational and disruptive.” [EY, 2020]

We’re witnessing the most significant point of inflection since the steam engine. Artificial intelligence is set to transform the way we work and interact with customers and colleagues alike. 75% of enterprises expect to fully operationalise AI within the next 4-years and the analysts regularly talk in terms of 40% improvement in productivity. No wonder Automation (a foundational step towards AI) is the number one technology trend 2020 [Gartner].

Yet, despite high aspirations for a digital future, just 25% of executives feel prepared to make use of data [Accenture]. Put simply, the cart is before the horse; and the horse is tiring. Legacy data systems are no longer fit for purpose. For the majority, it’s not too late to become a data-driven enterprise. But speed is critical as failure to protect the data foundations leaves firms ever more fragile, especially when economic certainty is a distant concept.

Data-driven enterprises use data and insights to fundamentally change the value proposition they offer to customers. The best among them catalyze a virtuous cycle in which more customers generate more data that is used to further enrich products and services, creating a sustainable competitive advantage. This requires orchestrating process, culture, and technology around making the most of data’s distinctive–and disruptive–economics. 

We asked hundreds of organizations about their top priorities for their data strategy and the steps they are taking to execute against them. Whether your organization is focused on customer satisfaction and loyalty or margin and market share, learn out what patterns and practices are giving the leaders confidence that they are outperforming their competition at using data to achieve business goals.

Let’s talk and discuss:

• Key drivers and inhibitors (eg. process and culture) required to build a DDE
• Is cloud a necessity for a data-driven company
• Can particular industries or companies afford to wait to become data driven? 
• How your organization compares with benchmark data from 1400+ CIOs and how the insights from this presentation and discussion can help you move into the leader categories

Your delegate package includes:

• Virtual roundtable and panel discussion
• Interactive Q&A session
• £25 Berry Bros. & Rudd voucher

Speakers:

Bryan Kirschner, VP of Strategy, DataStax

Bryan Kirschner is Vice President, Strategy at DataStax. For more than 20 years he has helped large organizations build and execute strategy when they are seeking new ways forward and a future materially different from their past. He specializes in removing fear, uncertainty, and doubt from strategic decision-making through empirical data and market sensing. 

In 2006, he was named the first Director of Open Source Strategy in the history of Microsoft. The company’s reorientation toward constructive engagement with Open Source developers, users, and buyers drove significant advances in business results, engagement with customers, and standing with regulators. Later he was instrumental in a task force that resulted in then-CEO Steve Ballmer’s 2010 landmark speech declaring that Microsoft was “all in” on cloud computing. 

Bryan founded the Apigee Institute in 2013, bringing Apigee customers, world-class experts, and groundbreaking research together to help enterprises accelerate digital transformation. Following the company’s acquisition by Google, he led research and strategy for Google Cloud Developer Relations and DevOps Platform. 

A frequent speaker at industry events on digital transformation and platform strategy, he has cultivated strong relationships with leading academic researchers on these topics for over a decade.

He holds a Bachelor of Arts in Philosophy from Yale University and lives in Seattle, Washington.