Today, data is everywhere; petabytes of data are generated each and every second. Many organizations understand the value of collecting data to become competitive in the market and to bring innovation and profitability into their products and services. However, gleaning insights from data is a challenging task. More than collecting data, your company will have to ensure that the data used in problem-solving is relevant and properly handled to address the question at hand. Data only becomes valuable when you use it to see connections, make predictions or automate.
How to gain value from your data?
Would you like to discover the opportunities that data & AI bring to your company, or would you like to challenge your initial ideas with AWS AI experts? Are you aware of how using AWS Data & AI services allows you to add intelligence to your applications and workflows? We accompany you through the process, from ideation workshops to the development of a proof of concept (POC).
With a data platform on AWS a broad set of value added use-cases are possible :
- Digital customer experience and automation (e.g., Natural Language Processing)
- Customer engagement (e.g., demand forecasting, churn prediction)
- Personalization or risk modeling (e.g., profiling)
- Fraud or error detection: (e.g., detect abnormal behavior)
How do we work?
During a 10-day engagement, we will help you plan and organize your data science project:
- Discovery (2 hours): As we deeply believe that the approach should start with establishing a strong business understanding, we meet (virtually) to ensure we understand your business objectives, your technical and business situation, and key stakeholders. During this discovery phase, we also think about the available AI services.
- Data Gathering & Understanding (4 days): Adding to the foundation of the business understanding phase, our AWS AI expert will focus to identify, collect and explore the datasets that can help you to accomplish your objectives.
- Modeling & Evaluation POC (6 days): our AWS AI expert will build and asses a model with the right modeling technique. Finally, the evaluation phase will verify that the developed model meets your business success criteria before deploying it.