HOW WOVENWARE DOES IT
By leveraging vast data sets, Wovenware's AI solutions augment human capabilities by identifying patterns and trends in the data and helping organizations gain valuable insights, make data-driven decisions, and improve overall operational efficiency.
BEFORE WRITING THE FIRST LINE OF CODE
Data analytics solutions are only as good as the data-sets they are trained upon. When building effective solutions, there are key ways to gather and optimize the right data. Below are some tips to accomplish this.
Identify the problem
Your data analytics developer should acutely understand your business problem and what you hope to achieve. Partnering with a provider that understands the challenges of your industry and how to overcome them is the key to success.
Gather the data
It’s important to perform a data audit before creating a data analytics solution to determine where your data resides and what may be missing. A good AI partner can then take that data, supplement it and clean, label and classify it for data training.
Test-run the solution
An AI Innovation Sprint can help you very rapidly determine if your data analytics solution will succeed before you spend time and money deploying it. A sprint should last anywhere from 2-4 weeks with the objective of building a risk-free proof of concept that can be adjusted as needed.
Strive for continuous improvement
Don’t be content to just deploy the solution and move one. It’s essential to continually train and improve its capabilities with new data-sets. Predictive analytics get better over time.
USING THE VOICE OF OUR CUSTOMERS AS A NORTH STAR
Learn how we partner with our customers to create useful technology together that empowers humans and delivers impact.
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Shaping the future with companies that lead
By deeply understanding the unique challenges and nuances of various sectors, we combine our industry insights with cutting-edge AI technology to develop tailored software products.