Data and Analytics Executives have seen the potential for Artificial Intelligence but struggle to implement it. One of the biggest challenge is integrating the varying strengths and weaknesses of the five generations within today’s workforce. In this session hear best practices and use cases for advancing skills for implementing digital transformation.
•Establishing a training course that fits the goals of the business
•Determine where talent is coming from and how to attract those practitioners
•Create incentives for employee retention and acquisition
Gain winning data, marketing and analytics insights from executives in professional sports. From the pre-game, game-day, to the post-game experience along with data used to field the teams, view what makes a successful sports data strategy.
•Breaking down barriers and building game-winning partnerships
•Improving effectiveness with the right data tools at the right time
•Addressing and overcoming ethical and privacy challenges in utilizing data
•Evolving strategies to take your play to the next level
It is no longer enough for an enterprise to make reliable data available to every team using complicated or heavy processes. In a world of new business models, new privacy regulations, and evolving user expectations, timing is everything. And the enterprises that can act in real-time win big.
In this session, you can discuss the impact of real-time data access on:
It’s undeniable. Every company in every industry strives to better understand, engage, and retain its customers. But, as consumers, why do our vendors only act on our feedback when we decide to leave for their competitors? Traditional analytical approaches have helped companies to deliver more personalized experiences and even monetize more opportunities. But, customer expectations are increasing and putting more pressure on businesses to achieve even greater insight at every interaction. Join this session to learn how three leading data-driven organizations rely on Vertica for Customer Behavior Analytics to quickly derive more insight from larger data volumes to improve customer experiences, lower acquisition costs, and reduce churn.
As the practice of applied Machine Learning grows and data science/advanced analytics business teams proliferate, there have been correlated increases in operator error and questionable practices. This presentation details some common pitfalls and myths to watch out for as you grow or build your data science divisions and presents compelling facts to counter growing misperceptions as more and more businesses try to leverage these techniques. Grouped into conceptual, analytic, and organizational pitfalls and outlining core concepts critical to understanding machine learning as a powerful business tool, this engaging presentation shares examples and lessons culled from a combination of experience, published articles, and the broader data science and advanced analytic communities.
Imagine an enterprise where analysis is automatically conducted and insights are proactively delivered to help business users make an impact on business outcomes. Learn how enabling technologies like AI, machine learning bots, and GPUs are converging to make this a reality. Together, these technologies stretch the possibilities of augmented analytics, supporting an improved user experience centered around the consumption of analytical content.
The complexities of cloud-based data and networking led Domo to use Vertica to power their flagship product and to glean metadata to manage and optimize their databases. Their internal system, called “Domo4Domo,” uses a rules-based engine, with elements of machine learning, to identify and eliminate conditions that cause slow query performance. By achieving close to 100% uptime with this system, the team can confidently deliver on query performance SLAs, as well as expand capacity, when needed, without increasing management costs. Join Domo Senior Database Engineer Ben White as he offers a look into the future of database administration and management, including how he and his team use an advanced separation of compute from storage architecture to build a more autonomous database capable of improving its own performance.
Enterprises globally are aware of the benefits to using customer data to decrease time to market, increase brand awareness, improve customer service, and even generate societal benefits like slowing the spread of disease.
Customers are responding favorably, often choosing to interact with those organizations that can offer an experience tailored to their interests and needs. But in light of increasing regulations around personal information, many organizations are caught trying to navigate between using this crucial data and remaining compliant to protect their brand integrity and their customers’ personal details.
Join Kish Galappatti, Senior Privacy Engineer at Privitar, to explore:
Savvy insights executives must promote an agile culture of speed to capture data and unlock transformative insights, all while winning the fickle customer and maintaining a competitive advantage that will move the business forward. The task can feel like an overwhelming one as competitors, more fiercely than ever, look to data and insights to disrupt their sectors. During this plenary session, we will explore the role of insights executives in a consumer-driven world of data and exponential technology. We will explore embracing innovation through analytical insight and leading an agile, innovative, insights-driven culture, including:
The COVID-19 outbreak is influencing all verticals in the economy. The increased remote workforce has added data management challenges. In this session explore, expanding data’s usefulness, providing support, balancing security and managing privacy. Look at proactive ways to address data management challenges.
Given that change is constant (and holds even more true in the current environment) it is mission critical for organizations to embrace and drive this pro-actively to stay ahead of the curve and achieve sustainable competitive advantage. This session will provide an example eco-system of how this can be orchestrated at an enterprise level with a focus on data in tandem with process, people and technology.