Machine Learning

Machine Learning

By 2020, the number of jobs for all US data professionals will increase by 364,000 openings to 2,720,000 according to IBM.*

*The Quant Crunch: How The Demand For Data Science Skills Is Disrupting The Job Market

With the increase in AI and automation technologies, we are seeing a corresponding increased demand for data scientists, data developers and data engineers. These are roles that play a critical part in machine learning design and implementations.

Some examples of machine learning at work include:

  • Netflix’s recommendation engine presents viewers with content based on viewing habits, tags and a proprietary algorithm
  • Uber analyzes data from customers’ previous trips to determine arrival times, pick-up locations, and UberEATS' delivery estimations
  • Google Maps uses traffic speed data from smartphones enabling it to suggest the fastest routes
  • Paypal analyzes enormous amount of multi-faceted customer data to evaluate risk factors and prevent fraud

Sentient Minds helps companies harness the power of data to achieve impactful digital transformation. We offer machine learning and deep learning solutions developed by our pool of experts who are well-versed in applications spanning a wide variety of industries. Our resources are available to integrate these solutions seamlessly with others and support organizations in their data analytics needs in areas such as data architecture, predictive analytics, advanced analytics and statistical modeling.

Our machine learning offerings include:

  • Model Design
  • Model Building and Implementation
  • POC in a Box (Rapid Prototyping)
  • Natural Language Processing (NLP)
  • Digital/Virtual Assistants including AI-Powered Chat Bots
  • Training

Digital Technologies

Robotic Process Automation

Robotic Process Automation is digitally transforming how enterprises operate. By automating processes within an enterprise that are repetitive, high volume and rule based, Sentient Minds helps you... Continue Reading...

Payments & Blockchain

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Artificial Intelligence

Enterprises with decision making that is complex are rapidly utilizing the capabilities of AI tools to achieve more efficiency and to mitigate risks. AI combined with Analytics provides

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