Time to Move Beyond Digitization
Capgemini has the depth of experience and breadth of capability to help you build and accelerate a data-driven enterprise that will outpace the competition, leveraging Google technology.
Where Can We Connect
Visit us at booth #1520 in Moscone West to explore demos showcasing how we leverage Machine Learning, AI and IoT in the retail, commerce and financial services space.
A Glance At Our Schedule
Breakout Sessions –
Wednesday July 25, 2018 – 12:35PM – Moscone West – Level 2 Room W2024
Come listen in on “Collaboration Without Borders” as our client, Barry Callebaut, shares the company’s initial challenges to functionally equip its workforce with the right anytime, anywhere, any-device tools and the global roll-out process of the G Suite enterprise cloud collaboration tools and its benefits.
Thursday July 26, 2018 – 9:00AM – Moscone West – Level 3 Room W3016
Stop by and sit in our “Leveraging Machine Learning for Fraud Analytics” session as we showcase how we build advance accelerators for Fraud Analytics solutions leveraging Google Stack to fill the gaps that exists within other Fraud Analytics solutions currently available in the market.
Cloud Talks –
Wednesday, July 25, 2018 – 3:00PM – Cloud Talk Theater – Moscone West, 1st Floor
Join Avinash Vaidya at the Cloud Talk space on the first floor at Moscone West to hear how Capgemini, SAP & Google have joined forces to simplify digital transformation challenges with Capgemini Digital Control Room Analytics. Google’s Vision API and AUTOML are used to capture and analyze visual quality inspection near real-time. This solution increases inspection process throughput, coverage and traceability of records at the same-time ensuring cost takeout benefits of automation
Booth Demos –
Meet SACha, Your Personal Voice Assistant
The Smart Digital Store offers a future proof platform and a wide breadth of services, tools and accelerators to help retailers kick-start their store transformation journey, regardless of where they start.
Fraud Analytics: Common Point of Purchase
We will showcase how we can build advance accelerators for Fraud Analytics solutions leveraging Google Stack. We will demonstrate how these accelerators fill the gaps that exists within other Fraud Analytics solutions currently available in the market today and how it can offer several benefits including real-time processing, increased accuracy, scalable database and high performance.
Anomaly Detection: Destroy the threat knocking from inside the door
Capgemini’s Anomaly Detection solution makes it possible to identify threats in advance. It uses unsupervised machine learning to track anomalies dynamically. The system is built on a foundation of Big Data, Machine Learning and Google Cloud.
Changing the Visual Inspection Game through AI/ML
Capgemini, SAP & Google have joined forces to simplify digital transformation challenges with Capgemini Digital Control Room Analytics. Google’s Vision API and AUTOML are used to capture and analyze visual quality inspection near real-time.
Read About How Capgemini Partners with Google
Our overall Cloud Services
We help you build sustainable competitive advantage in a fast-paced digital world with the right cloud strategy tailored to your business objectives. Visit capgemini.com/be-en/service/cloud-services/
Capgemini provides industry-specific services and guidance to hundreds of consumer products and retail clients worldwide, including 27 of the world’s 30 largest consumer products companies and 27 of the leading retailers.
Capgemini and SAS are helping financial services firms transform their fraud management capabilities, delivering lower costs and greater protection for customers and reputations.
Capgemini Digital Control Room Analytics is a solution framework which combines IoT information with financial, plant, asset, equipment, and supply chain data. It provides multiple functionalities including visualization, deep insights, operation planning, real-time communication and predictive analysis.
Learn more about our solution:
Digital Control Room Analytics
For questions, comments or meeting request, please fill out the form below:
We are sorry, the form submission failed. Please try again.