Think of any digital transformation project as a tripod. There are three main focuses: technology, people, and processes. If one is overlooked, you jeopardize the success of the entire plan. To excel in digital transformation, you must be truly agile; be prepared to fail fast, as scope will change continuously; your integrated teams need momentum to innovate and deliver. The power and innovation of leading cloud technologies allow businesses to invest in customer journeys and adapt to the market. Without the right people in the right places to run and manage modern technology, you risk not fully realizing the benefits of these tools.

This panel will cover:
•How do you keep important stakeholders engaged in the process while transforming and buying into the technology?
•What are key challenges in transformations on data quality?
•How important is the chosen technology vs people and process?
•Why are people, processes, and technology only in combination delivering your digital innovation strategy?

To meet the ever-increasing business demand for data, information assets must move seamlessly and quickly throughout an organisation – easier said than done in today’s complex modern data ecosystem. Under-resourced technical teams struggle to keep up with business requests for data, while business teams must have their data on demand to stay competitive. The result is frustration on both sides.
In this session, we will look at the true cost of data integration friction and ways to get data flowing easily and securely across the organisation.

Today’s business leaders are expected to be data-driven and to use data as an important source of input when making important decisions, regardless of whether they’re small and routine or big and highly strategic. Thus, meaning that the usefulness of data has become a well-accepted fact.

This roundtable will explore the following key questions:
•What do we need to do differently so we focus on making sense of data we already have, rather than gathering more of it?
•How do we go faster, better from data to insights to stories & is all data good?
•How do you see data-driven decisions be impacted in an increasingly uncertain world (with historic trends being so unreliable-Covid et al)?
•What is the future of data cloud strategy? Single or multi-cloud or on-prem?
•How do we create the culture and the capability across different levels of organization to make something with it?
•How can we nurture leaders to create a culture where neurodiverse talent can flourish & evolve our data literacy and empower everyone in the organization to derive value from data?

Technology is evolving the lives of people, and drastically changing the way businesses operate. This means every industry is focusing on adopting new technologies in their businesses, even the customer service industry as it has turned into a new stepping stone for businesses.
Whilst customers have access to the product information, businesses have access to customer data and ways they can reach their customers. Therefore, it has become clear for businesses to offer a smooth customer service experience in all aspects.

This roundtable will explore the following key questions:
•How is AI being used in the customer service industry?
•How can we embrace technology to help drive a more customer focused strategy?
•How can we deliver on the promise of a customer-centric approach?

CDOs, CAOs and D&A leaders, know that the key to success in this digital age is data. To capitalize on the true potential of data at our fingertips, organizations must fundamentally change how they view and use data. Transforming the view of D&A from what was typically considered a support function, to a strategic growth asset and core business competency requires data leaders to innovate to match the pace of digital transformation. How do D&A leaders quantify and prove the ROI of data initiatives in the context of bona fide business value? How can data leaders drive change while bridging the gap between business and technology?

During this roundtable session we will discuss:
•How do you create frictionless collaboration within your data ecosystem - people, tools and data?
•How do you get data to the last mile, while the underlining infrastructure continues to change at a rapid rate with so many moving pieces?
•What cultural and infrastructural changes are required to adopt real-time, open, secure, and scalable data analytics throughout the organization?
•In order to drive culture change, data literacy needs to be viewed through an employee lens. How does data literacy create impact? How [do we] overcome slow employee adoption when business change is gradual?

The introduction of GDPR has highlighted concerns about keeping personal data safe, and how some tech giants have built business models based on our likes and dislikes. Anonymization/Data Masking has become a need not only for those organizations seeking to stay compliant, but also those in charge of ethical monetization.
Manuel will review the impact of the various privacy laws and regulations, use cases, available technology, and the growing concern about our personal data being shared with the advent of increasingly more IoT devices and 5G/mobility.

Too often the focus is on what has failed in implementing data projects. We would like to present and discuss what has led data projects to succeed. Erlon Rachi, Data Science and Advanced Analytics Senior Manager, will share his learnings in a decade of global data projects executed at CI&T and the factors that turned them into the stepping stone of successful digital transformation journeys.