Unlock Value of Disparate and Complex Data
Azure Databricks: Unlock Value of Disparate and Complex Data Powered by Azure Databricks Luke Pritchard Avanade, Inc
Vision of Avanade Inc.
To be the leading digital innovator realizing results for our clients through the power of people and the Microsoft ecosystem
The market and clients
- Unlock the value of data at scale
- Get off restrictive legacy systems and create new business models
- Differentiate in the market
The approach
- Value and design led approach
- Outcome-based experiments using fast flexible technology
- Once value is proven, scale and industrialize
- Continue to expand to multiple value
| Database and Data Factory | Data Engineering and Data Analytics | Business Insight | |
|---|---|---|---|
| System | Azure SQL DB | Azure Analysis Service | Visualization |
| Implementation | Python, Databricks, Cloud | Power BI, Excel | PPT |
The real impact of AI
Define AI
Avanade: The real impact of AI
- Linguistic / Spacial intelligence — Natural Language Processing / Image Processing
- Align with the existing workforce: separate skills and tasks, and work and tell what part is good for people to do, what is good for machine to do
- Empower human to build their digital coworkers -> People and robots work together
Technologies are responsible for simple standardized problems (e.g. chatbot) -> Humans are responsible for complex tasks
AI takes the job that people don’t want to do.
Data x Power x Context = intelligence-driven innovation
Understanding data is more important than the data itself -> So many factors (context) around -> Understanding the context is a human skill
- There not a lot enormous brand-new technologies in the AI field today. (Neural Networks and some other algorithms have all been around since 90s)
- The exponential curve of data being produced is the second half of the chess board
- We are in the world where all the exciting algorithms need to be applied!
Business practitioners are talking about the applications of advanced technologies.
Before we talk about technologies, data is a huge problem (quality!). And… IoT (sensors) data?
The reality of AI
Concerns:
- Over-sale of AI?
- Customer and employee experience and their confidence
- AI is taking jobs away? Technologies are doing robotic jobs and this is helping people as a digital coworker!
Challenges:
- Technology fatigue, Necessity, Security
- Can we apply it in a enterprise context?
- Productivity of IT
AI and the changing role of the CIO
- Integrate IT Infrastructure with Business Operations
- Maslow’s Hierarchy of Needs
AI and HR
- Measure work, productivity and recruitment
- Automation of the first step and to focus more on understanding the candidates
The real impact of AI on jobs
Human do things that machines can’t do
The augumented human
How to use technology in a reasonable way?
- Robotic process and automation.
- Digital workers rather than robots. They are a part of the workforce and also the coworker of people.
- AI is enhancing what people are doing
The rules of engagements
- Ethicness (addictiveness of mobile phone, opaqueness of algorithms)
- Bias and testing — How to validate the dicisions made by machine (give the reason)
Microsoft Azure Ecosystem
Microsoft Azure - Products:
AI + Machine Learning
IoT