Tech Intersect #202: Leveraging Data Analytics to Drive Operational Improvements with Russ Hawkins

Tech Intersect™ with Prof Tonya M. Evans

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Looking back at how data has been managed historically, only a small subset of people have access to the business data. Russ Hawkins and Agilence set out to change that. In an era where companies are strategizing ways to collect more and more data, Agilence is working with companies to expand what they can do with the data they already have. This week, episode 202 of the Tech Intersect™ Podcast is about leveraging data analytics to drive operational improvements!

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Russ Hawkins is the President and CEO of Agilence, a leading data technology company at the forefront of SAS analytics and reporting. With over 35 years of experience in the tech industry, Russ has been instrumental in steering established organizations and small startups toward achieving their maximum potential through strategic internal change. Under his leadership the company has become an indispensable tool for retailers, grocers, and restaurants, empowering them to enhance operational effectiveness and uncover preventable losses through the power of their own data.

Topics Russ and I go over in this episode include:

• Agilence drives operational improvements by providing the decision-makers of a company with real-time access to data.
• AI and machine learning can be used to pull out potential problems, improve customer support, refine chatbot experiences, and increase productivity through coding.
• Blockchain provides an opportunity to have a clear record of the movement of a retail product across the manufacturing process and into the customer's hands.
• Taking a human-centered approach to technology ensures that AI improves people, not replaces them.

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Capítulos

1. Leveraging Data Analytics to Drive Operational Improvements with Russ Hawkins (00:00:00)

2. Russ Hawkins, president and CEO of Agilence, discusses his 35-year tech industry career and leadership in data analytics. (00:01:47)

3. Legacy companies face challenges adapting to 21st century approach, despite valuable data insights. (00:06:49)

4. AI and large language models have the potential to improve customer support and productivity in retail and restaurants. (00:13:04)

5. Taking care of the team and ensuring they are motivated and valued is so important, as they are the company's most important asset. (00:20:26)

6. There is a need for a human-centered approach to data and technology. (00:26:04)