Day 1

Healthcare and life sciences today present some of the most difficult challenges for people and companies wanting to use video as a core system of communication. We’ve move far beyond an age where choppy, erratic performance can be accepted – so security, reliability, and scalability are critical, but so too are advanced engagement capabilities to connect with the diverse audiences and distributed teams. This session demonstrates recent advances in enterprise video, and how these advances are essential in high-performances organizations.

Detail Microservices are the foundational element in modern architectures, enabling rapid, global scale across cloud, data center, and the edge. But even as microservices become mainstream – 15% of organizations use them today and over half (51%) are employing them to modernize apps – pressure to provide secure digital experiences are forcing changes in how we treat them. In this session we’ll explore how these pressures are turning microservices into mini-monoliths.” s on this session will be announced shortly.

As we continue to revolutionize the relationship between humanity, science and technology, the role that partnership plays in innovation becomes critical. We have seen this over the past year as COVID-19 vaccines and treatments were developed in record times. In this session, Amanda will share tips she has learned from her time in the high-tech space to explain how to effectively use co-innovation to drive short term success. She will explain why it is important to collaborate with the broader team vs. working in isolation, how to challenge conventional thinking, and how to ensure you are delivering impact, not just metrics. Join this session to understand how to drive new and interesting technology and business outcomes that benefit your organization as well as humanity.

Artificial Intelligence (AI) enhances and amplifies human expertise, makes predictions more accurate, automates decisions and processes, optimizes employees’ time to focus on higher value work, improves people’s overall efficiency, and Will be KEY to helping Humankind travel to new frontiers and solve what feels now like insurmountable problems. But- We’ve got to get AI right…

Can you trust the decisions made by an AI? Just because a decision is made by an AI does not mean that the results are morally or ethically squeaky clean. This talk will introduce listeners to the very real dangers of unmitigated bias in AI, told in a very personal way through storytelling. The talk will conclude by giving very tangible (and holistic) steps that organizations like yours can take to best leverage this technology to your advantage WHILST mitigating the risks.

Social Engineering techniques using social media outlets, IOT risk, search engines that can disclose IOT devices, software and firmware versions, password cracking and hash to clear text translation, and best practices to secure yourselves. Then sharing the various bad actor tools, what they do, and how easily accessible they are for purchase. 3 Things attendees will learn Techniques to show how much of your own information is freely available, and if you have been compromised Best practices to avoid or respond to an incident against you Easily attainable bad actor tools and devices to watch for to avoid incident.

Discoveries made through examined failures are essential to human evolution. Events become learnings, learnings become narratives, and narratives become templates that can correct for mistakes in future implementation. Once used primarily for survival, these tactics of social advancement have expanded to serve more complex, strategic purposes with the increased use of tools and technologies to supplement human action. But in a community motivated more by a desire for success than insight, outcomes can often take precedence over methodology — and obscure the organic action that will lead to real discovery.

For Beth Rudden, distinguished engineer at IBM Corp., the current rise of artificial intelligence and the controversies surrounding its ethical use in a socially homogeneous tech industry bring this growing discord to a head. In this talk, she will advocate for the urgent need to demand data lineage and provenance in order to assure trust in artificial intelligence. She will describe real uses cases and bring to light methods and processes your organizations can implement now for future, more responsible implementations of AI.

Details on this session will be announced shortly.

Details on this session will be announced shortly.

Details on this session will be announced shortly.