Join the CIO panellists from around the country for a virtual conversation on how the move to digitalization has accelerated as a result of the move to work from home during COVID-19.

Implementation of new technology and cybersecurity services has been a key strategy to most companies in the new millennium as the world is made smaller thanks to the internet of things (IoT). With the Pandemic, the move to digitalization has hit “ludicrous speed” as organizations pivot to embrace remote workers and the tools needed to function effectively.

Over the course of this executive discussion, we will explore:

• With an increased need for a remote workforce what steps are being taken to streamline resources.
• How the Internet of Things (IoT) will continue to accelerate with the mass rollout of 5G technologies.
• How the events of 2020/21 have created the need to review the ways companies are going to market and delivering their products and services.

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Data encryption, Digital Signatures/certificates, Application Encryption and PKI are all technologies that use CRYPTOGRAPHIC functions yet most of the companies that implement these technologies trust their vendors that their solutions provide the appropriate amount of security without questioning the specifics of their implementation. Why? It’s simple: Crypto is hard to understand and if the vendor says they’ll take care of it, most companies believe their vendor. This is a mistake and companies need to start questioning their crypto vendors and the only way to do this is to understand Crypto. Crypto isn’t hard if you know what to look for and what questions to ask. Mr. Beutlich will talk about these topics and provide a number of sample questions that every company should ask any vendor who says “Don’t worry, we’ve got your crypto covered.”

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Data encryption, Digital

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Technology is not a strategy, but some strategies are only possible with the right technology in place, backed by an operating model tuned to make the most of its capabilities. More data than ever is available to CIOs and CDOs–but architecture and practices fit for handling “less data, more slowly” aren’t enough to use it compete and win. We will dive into how today’s leaders have shown the path toward starting, scaling, and sustaining shared mastery of the new “fast data” powering winning apps to drive growth:

• Why you want the modern open source data stack
• How to break the organizational barriers to data velocity
• Why “fast, smart, and big” are the future of data for the apps that matter most

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How do you measure the impact of data science? In this fireside chat, we’ll discuss a new way to frame and benchmark the ROI of your data science team’s work: Model Velocity.

Getting one model into production isn’t going to impact your business. But delivering many models — and constantly measuring, managing, and improving them once they’re in production — that’s the key to success with data science. Model-driven businesses win because their CDOs create a flywheel for data science products that improve efficiencies and unlock breakthrough innovations.

These CDOs focus on weaving ML models throughout their entire business. They build out an MLOps strategy with Model Velocity in mind. They deliver on their strategy by setting meaningful benchmarks and continuously improving the performance of their data science teams over time. They establish a culture, processes, and systems that focus on rapid iteration throughout the data science lifecycle.

Join this session to hear industry-leading CDOs discuss:

• Where they’re seeing bottlenecks or breakdowns occur in the data science lifecycle.
• How they’re thinking about building out an MLOps competency.
• How they’re measuring the performance of data science products today, and how they think about Model Velocity in their business.
• What key investments they’re making in 2021 surrounding data science, and why.

Attendee takeaways:

• Attendees will leave with a new understanding of Model Velocity and tangible ideas for how to achieve it.
• Attendees will learn how to identify gaps within their organizations that are preventing Model Velocity.
• Attendees will learn MLOps best practices from other industry leaders

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2020 has had some unique and complex challenges; the internet has become the glue holding our society together – and that has resulted in the need for better security.

This brief session will cover high-level security priorities (with examples) that organizations should keep in mind for 2021:

• What we should expect from attackers
• Alerting assumptions, fail-safe alerting
• Downstream detection capabilities

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Our digital environments and workforces are more dynamic than ever. To navigate the risks and challenges that digital innovation brings, organizations must rethink their approach to security.  Static, legacy approaches have become redundant against sophisticated, fast-moving threats, and attackers that continue to evolve their techniques. Organizations are increasingly turning to new technologies like AI to achieve much-needed adaptability and resilience; protecting workforces and data from attack by detecting, investigating and responding to cyber-threats in real time — wherever they strike.

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