DELTA LAB Weekly Newsletter

Smart Automation strategies, techniques, and news.

What is Smart Automation?

Humans x Data x Algorithms

Smart Automation combines human and machine strengths to produce better results than what they can achieve independently. Human strengths are on complex creative thinking for abstract problems. Machine strengths are on automated data processing for well-defined problems. Combined, they are very powerful.

Smart

Smart

Smart automation combined with human problem-solving produces unmatched results. What will you do with improved decision making?

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Fast

Fast

Smart automation can make decisions within milliseconds, giving your team time back. What will you do with more time?

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Transparent

Transparent

Smart automation can be seen as a black box at times, but it doesn't have to be. What if you understand the details when you need to?

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Decisive

Decisive

Smart automation provides recommendations right when you need them. What will you do with algorithmic second opinions?

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Scalable

Scalable

Smart automation can produce large amounts of decisions per second for different problems. What if scaling is not a problem?

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Modular

Modular

Smart automation is modular. What if you don't commit to purchases of big-bang, generic, pre-packaged products or consulting?

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Learn the basics with our blog and videos.

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Why invest in Smart Automation?

Artificial Intelligence (AI) is a term some use to refer to these projects. Frankly, it sells more, but we prefer to call it Smart Automation (SA). Companies making periodic data-driven decisions should invest in SA to increase effectiveness and efficiency, and reduce risk. These compound into long-term value.

93%

Strategic Value

"93% of companies believe they will receive strategic value from AI." BCG

84%

Growth Goals

"84% of C-levels believe AI is necessary to achieve growth goals." Accenture

76%

Reduced Risk

"76% of C-level executives believe they need AI to stay in business." Gartner

69%

Increased ROI

"AI increases ROI over other techniques in 69% of use cases." McKinsey

6m

Fast Payback

"AI projects give companies an average payback period of 6 months." IBM

3y

Evolution

"33% of executives say AI will transform their business within 3 years." Deloitte

Learn in-depth with our books and courses.

We appreciate receiving your comments, questions, and content requests.

What powers Smart Automation?

On your end, you will bring big business vision with clear success metrics, processes that continuously generate data, and a committed team with deep understanding of the problems we will solve. On our end, we will bring strategic and technical expertise, knowledge, ideas, tools, and great ROI for you and your team.

Systems Thinking

Systems Thinking

Do you understand the non-obvious complexities and opportunities for your problem? Do you know what techniques to use for each?

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Portfolio Strategies

Portfolio Strategies

Do you know how to design a portfolio of POCs with a good risk/reward ratio? Can you identify the risks behind each of them?

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Feedback Loops

Feedback Loops

Do you know how humans and machines can provide feedback to each other? Have you identified the necessary leverage points?

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Machine Learning

Machine Learning

Do you know what models are best for each of your problems? Do you know their trade-offs? Do you know how much data you'll need?

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Operations Research

Operations Research

Do you know where mathematical optimization can have big impact? Have you identified all the ways your operations can be optimized?

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Time-Series

Time-Series

Do you know how to model your operation as time-series? Do you know how to reliably interpret and forecast those time-series?

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Cloud Engineering

Cloud Engineering

Do you know what cloud services are the best fit for your goal? Can you set up, secure, and update cloud-based architectures?

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Data Engineering

Data Engineering

Do you know how to increase your data's value? Can you securely, reliably, and efficiently move data between your processes?

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Data Science

Data Science

Do you know how to explore and understand data dynamics? Can you simplify your findings and link them to business decisions?

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Ready for the next level?

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