BDA Europe

Big Data Analytics

12 June 2019

Steigenberger Airport Hotel, Frankfurt

SOCIAL


LATEST TWEETS

SEMINARS

The Seminars will take place from 12:15 – 13:00

PLEASE NOTE: All Conference Sessions (including slides) will be presented in English ONLY

Delegates will be able to attend one seminar at the event. No pre selection is required – delegates will be able to select which session they attend onsite.

SESSIONS

SEMINAR 1

Salons 9-10 (Main Plenary, G/F)
Sponsored by:
Your Path to Enterprise AI

Jüri Kirpu, Account Executive, Dataiku

To succeed in the world’s rapidly evolving ecosystem, companies (no matter what their industry or size) must use data to continuously develop more innovative operations, processes, and products. This means embracing the shift to Enterprise AI, using the power of machine learning to enhance – not replace – humans. Dataiku is the centralized data platform that democratizes the use of data science, machine learning, and AI in the enterprise while also ensuring a level of interpretability that builds trust and confidence in those systems. With Dataiku, businesses are uniquely empowered to move along their path from data preparation to analytics at scale to Enterprise AI. And with its technology partners across the ecosystem, companies trust Dataiku to provide unparalleled flexibility and support. For trust in data, in systems, and in people.

SEMINAR 2

Salon 5 (G/F)
Sponsored by:
Wisdom and Analytics

Steve Keil, Analytics Practice Manager, MariaDB

In an increasingly commodified and digital business landscape, it’s becoming harder to develop and maintain a competitive edge. Loyalty is replaced by price, and humanity by business process abstractions. Many businesses have hit a “steady state”. We’ve been sold the myth that big data and ‘data transformation’ will drive improved decision making – giving us an edge to compete once again. Yet, the reality is we’ve failed to materialise on this promise, and despite increased data collection, storage, and implementations, we’re largely unable to generate expected benefits. Find out why our strategy and approach has been wrong and develop a new way forward for data-driven strategy, leadership, and transformation.