3A DIGITAL VISION Massive advances in computing power, atomisation - - PowerPoint PPT Presentation

3a digital vision
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3A DIGITAL VISION Massive advances in computing power, atomisation - - PowerPoint PPT Presentation

3A DIGITAL VISION Massive advances in computing power, atomisation of work, inexpensive data storage and digital access is providing unprecedented and rich digital footprint of customers to: Artificial Analytics Algorithms Intelligence


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Massive advances in computing power, atomisation of work, inexpensive data storage and digital access is providing unprecedented and rich digital footprint of customers to:

All businesses should be pioneers in this approach to empower customers and make 80% of all decisions based on three as within 5 years. Process Automation Decision Automation

3A DIGITAL VISION

Uncover unique business insights Analytics Automate decision making Algorithms Automate the automation Artificial Intelligence

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Unprecedent growth in unstructured data (Voice, Image and Text) Growth in IOT devises and sensor data (Real time data)

THE KEY DATA TRENDS

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TECHNOLOGY TRENDS

The open source revolution Growth of cloud platforms

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It is imperative for every organization to leverage the power of Big Data, Machine Learning and AI to survive in the coming years Big Data ≠ Big Budget

IMPACT OF THE KEY TRENDS ON TECHNOLOGY STRATEGY

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ACTIFY DATA LABS

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ACTIFY DATA LABS AIMS TO DELIVER THE 3A VISION

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Deliver value from data Build future technology

  • rganizations

Process Automation Decision Automation

Uncover unique business insights Analytics Automate decision making Algorithms Automate the automation Artificial Intelligence

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ACTIFY DATA LABS – WHAT WE BRING TO THE TABLE

Address Quantified Business Value Expertise in Image, Voice Text and Real time Sensor Data Expertise in Machine Learning Build Comprehensive Solutions with a Lean Team

Impacting KPIs, revenue and cost save

Our expertise

Leveraging unstructured (Image, Voice & Text) and streaming data Optimally using black box and glass box methodologies and building best-in-class grey box methods Build the technology layer (if necessary) for implementing the solution Usually a lean team of 2.5 people for solving a given business problem Industrial applications and factory analytics Supply chain analytics and

  • ptimization

B2B Marketing B2C Marketing – physical store and digital channel Credit risk – SME and individual

1 2 3 4 A B C D E

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SNIPPETS FROM THE JOURNEY OVER THE LAST 3 MONTHS

  • Credit underwriting

algorithm

  • Renewal prediction
  • Cross sell strategy
  • Voice based sentiment

analysis

  • Wait time prediction
  • Optimization of

production allocation

  • Computer Assisted

Diagnosis

  • Credit underwriting

algorithm

  • Image analytics POC for

yield estimation

  • Crop genomic analysis
  • Churn management
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OUR APPROACH OF FOCUSING ON BUSINESS VALUE

Business problem-A

  • Do we know which KPIs will be impacted?
  • Will the impact in the KPI translate to revenue enhancement or cost save and how?
  • Can this problem be solved based on a data driven approach?
  • Is the data for building the solution present and is the data stored across history?
  • Is the data reliable (from a directional sense)?
  • What are the challenges, if any, in implementing the solution?
  • Wil attribution of the impact be a challenge?

Business problem-B If the answer to these questions are “POSITIVE” then we have a project to start

PLEASE TALK TO US IF YOU WANT TO DERIVE VALUE FROM YOUR DATA