Join SoftServe and Google Cloud to discover why leveraging data and AI for business outcomes are today’s key business topics. Avoid being one of the:
• 58% of companies that usually make business-critical decisions based on inaccurate or incomplete data.
• 73% of companies that allocate funds to AI initiatives instead of essential data and analytics investments.
Discover how companies can avoid mistakes by using Google Cloud and a Data Intelligence Framework.
Build a data strategy that drives ROI with innovative data and AI projects.
Learn how to adopt methods and working practises that help make AI investments pay dividends.
Find out how our Data Intelligence Framework creates a unified data intelligence platform that enables clients to maximise the advantages of Google Cloud and have some fun too!
Interactive Demos: Enjoy the Google AI Playground where you can test some of the fun Google demos such as AI Quick-Build. This is a game show-based demo which spotlights the Gemini model’s ability to process unstructured data instantly and generate insights as well as provide more complex reasoning after collecting and processing more data.
Or try out the Formula E Gen AI simulator. Participants race 3 laps on the Berlin track, and their race data is uploaded to a GCS Bucket. It is then compared against a Formula E Pro racing driver who has raced the same track, from which Gemini 1.5 Pro offers coaching feedback on how to match their performance in future games.
Then there is the AI Drone Derby which is a structured enablement hackathon where teams collaborate to build a platform in Google Cloud. It is based around a model trained in Vertex AI and exported to a TPU Coral dev board acting as the Drone Control unit. The control unit then uses this model to process the drone’s incoming video, to guide it through a series of shapes and obstacles that make the drone racecourse.
During the workshop subjects we cover will include:
• What problems can occur with data and why is poor quality data such an issue?
• What is data governance and why is it important for success?
• How should organisations use data to make decisions?
• How should experience be balanced against a process of “following the data”?
• Does the use of AI in a business change the rules for data governance?
• What skills are needed to build a culture of good data governance across an organisation?
Apart from having fun with demos in Google’s AI Playground, we will examine challenges with:
• Data governance and security
• Data integration and innovation
• Emerging technologies, Legacy systems and much more.
| 12:15: |
Arrival at Google Cloud and Registration |
| 12:30–13:10: |
Lunch |
| 13:10–13:15: |
Welcome and workshop overview |
| 13:15–13:45: |
Workshop 1: Three pillars of a successful data strategy• The importance of the holistic approach to make data strategy successful• Combining value use cases, technical enablement, and data management practices to achieve success |
| 13:45–14:15: |
Workshop 2: Measuring value of data analytics initiatives• ROI is critical to justify major D&A initiatives – though, it’s not always obvious• Options for data-initiative monetization and how to make the value measurable |
| 14:15–15:00: |
Workshop 3: Data Intelligence Framework advantages – Google Cloud• Using data transformation and app modernization to accelerate AI adoption• Using data-to-AI modernization to increase value and ROI • Developing a comprehensive data strategy to scale with confidence • How a Data Intelligence Framework creates a unified data intelligence platform that enables clients to maximise the advantages of Google Cloud |
| 15:00–15:30: |
Coffee Break and demo testing |
| 15:30–16:10: |
Panel discussion: Data strategy in real life: wins, failures, and lessons learned |
| 16:10–16:15: |
Closing summary: What does the future hold for data and AI? |
| 16:15: |
Close and networking with refreshments and more demos |
