Delta Bravo Hires New Chief Data Officer

Delta Bravo Hires New Chief Data Officer

ROCK HILL, SC, September 20, 2022 – Delta Bravo Artificial Intelligence, Inc., the Industrial Strength Predictive Analytics company, announced the addition of Rosemary Radich as Chief Data Officer. In this role, Radich will lead the company’s global Data & Analytics team and champion Delta Bravo’s efforts to improve operational efficiency and sustainability for manufacturers. She will serve as a member of the Delta Bravo Senior Leadership Team, reporting to Rick Oppedisano, Delta Bravo Chief Executive Officer.

“With Rosemary’s addition, we gain a talented leader to accelerate our data journey and further establish the Delta Bravo platform as a strategic asset across our customer base,” says Oppedisano. “She is an experienced, energetic culture builder who’ll help drive our next phase of growth.”

Radich has over a decade of experience building and leading enterprise data science teams.  Prior to Delta Bravo, Radich led AccuWeather’s global weather data science team, which under her leadership serviced all lines of business for a global audience and more than half of Fortune 500 companies. Radich also served as the Principal Data Scientist for the American Veterinary Medical Association (AVMA), where she developed enterprise data strategy and delivered data science insights for more than 95,000 AVMA members. During her time at AVMA she created new digital tools and services for members, produced insights on pet ownership through acquisition, analysis, and visualization of new data sources, developed data partnerships, implemented an enterprise data management system, and developed company-wide reporting and analytics tools for executive leadership.

Radich is an experienced keynote speaker. She has spoken at events such as Microsoft Ignite and conferences for Esri and Google. She has appeared as a subject matter expert for the AccuWeather Network and her work with Spotify was featured on the Today Show. Her work has resulted in multiple patents for proprietary analytics products and processes.  Radich has also held roles at Cox Communications, where she conducted operational analysis to find ways to increase efficiency, and Meritrust Credit Union, where she performed analysis that helped leadership drive revenue and decrease expenses.

In addition to a number of industry certifications, Radich earned a master’s degree in sociology from Wichita State University, with a focus on quantitative and qualitative methodologies.


Headquartered in Rock Hill, South Carolina, Delta Bravo Artificial Intelligence helps manufacturers turn their data into Predictive Models that reduce downtime and waste while increasing quality and throughput. Delta Bravo has driven significant ROI for customers like Rolls-Royce, AccuWeather, Nucor Steel, Toyota, Continental, Gulfstream and more since 2017.  The company’s flagship product, the Delta Bravo platform, empowers rapid data transformation and offers several options for integrating machine learning and AI solutions into existing manufacturing processes and systems. For more information, please visit Delta Bravo’s website at

Ashley West, Delta Bravo

Essential Roles for AI Success in Manufacturing

Essential Roles for AI Success in Manufacturing

Rick Oppedisano, president and CEO of Delta Bravo AI, shares key takeaways from his experience helping manufacturers make the most of the mountains of data they collect. He lists the three key roles he considers foundational to ensuring predictive analytics goes to work to optimize product assembly.

Delta Bravo awarded coveted SCRA Grant

Delta Bravo awarded coveted SCRA Grant

Summerville, SC

delta bravoDelta Bravo was chosen from over 100 select South Carolina startups to receive the SCRA’s prestigious Acceleration Grant. “We are excited to approve a $50,000 Acceleration Grant for Delta Bravo,” says SCRA Executive Director Bob Quinn. These grants are awarded to early-stage companies that are demonstrating fast growth and promise in their market. Delta Bravo’s product and leadership team are innovating with machine learning and artificial intelligence. We look forward to seeing their impact on South Carolina.”

SCRA is a state-chartered organization that fosters job creation and grows South Carolina’s Innovation Economy. Through SCRA’s Entrepreneurial Programs, early-stage companies are provided mentoring and grants and may be eligible for an investment from SC Launch, Inc. The program is open to qualified South Carolina companies in the Advanced Materials/Manufacturing, Information Technology and Life Sciences industries.

“We are honored and excited to receive this award,” says Delta Bravo CEO Rick Oppedisano. “SCRA’s choice validates our solution and continues to solidify our relationship with the state of South Carolina.”


About SCRA

Chartered in 1983 by the State of South Carolina as a public, non-profit corporation, SCRA fosters South Carolina’s Innovation Economy by supporting entrepreneurs, enabling academic research and its commercialization, and connecting industry to innovators.


Delta Bravo Presenting At Charlotte Bots and AI Meetup

Delta Bravo Presenting At Charlotte Bots and AI Meetup

Delta Bravo CTO John McAliley and CEO Rick Oppedisano are presenting “3 Lessons Learned in Developing a Production AI Platform” to the Charlotte Bots and AI meetup group on July 11, 2018.

“There’s a ton of interest in AI and Machine Learning,” says Oppedisano, “we want to help people understand where they can start and also learn from our journey. The lessons we’ve learned along the way could save them months of technology evaluation and development time and in some cases, thousands of dollars in system costs.”


Lessons Learned from Developing a Production AI Platform

Wednesday, Jul 11, 2018, 6:00 PM

Industry Co-Working
1000 NC Music Factory Blvd. Suite C6 Charlotte, NC

12 Bots Attending

*** ATTENTION – Parking is FREE. You may park on the street if available or Deck #1 at AvidXchange. If there are any events, inform the guards that you are attending a Tech Meetup and they will direct you to Deck #1 *** Hello Everyone! Welcome to the July Charlotte Bots and AI meetup. This meetup our presenters from talking about “Les…

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This Is Your SQL Server on Machine Learning

This Is Your SQL Server on Machine Learning

delta bravo, sql server machine learning, database machine learning, ai

Applying Machine Learning models to database management turns the old paradigms upside down. Folks of a certain age remember the old “this is your brain on drugs” commercials from the 80s. For this post, we are going to borrow from this analogy to observe your SQL Server on Machine Learning.

What Is the Benefit of Applying Machine Learning Models to SQL Server?

Machine Learning enables you to:

  • Predict performance trends, capacity and potential security and/or compliance breaches
  • Correlate system spikes and/or anomalous behavior to specific events, actions and code
  • Model all possible fixes and identify the remediation that has the highest likelihood for success

The Power of Influence

It all starts with understanding what factors within the database itself influence each other. This varies with each use case and is influenced by business requirements, maintenance patterns and available system resources. Basically, databases are like people. Would you expect your doctor to prescribe the same medication for three random people just because they share the characteristic of being human?

Delta Bravo’s machine learning algorithms track the relationships between critical performance metrics for each SQL Server database. Here is a heatmap that shows, for this particular database, what metrics influence each other the most. High influence is reflected by a positive number and dark red tones, no influence is zero and gray tones. Negative influence is reflected by negative numbers and black tones.

delta bravo, machine learning, AI for the databaseTranslating Models into Action

For the sake of brevity (further detail is available in our whitepaper), we’re going to focus on the following Use case:

  • Identify a problematic system trend that has NOT reached a threshold*/been alerted on
  • Quantify the trend and verify that trend is going to continue into the future
  • Associate the trend with a specific event, measure impact of event
  • Identify root cause, quantify impact, identify specific action causing impact
  • Provide remediation recommendation

The work you are about to see was performed in 4 clicks (45 seconds) using the Delta Bravo UI. 

Let’s start with a quick view of the Delta Bravo System Health panel for SQL Server Instance DemoSQL-2.

We observe a problematic trend with this SQL Server Instance’s CPU. Is this trend temporary?  Seasonal? Let’s use Predictive Analytics to find out.

We see that the problematic trend is forecasted to continue, growing at a rate of nearly 90% over the next 14 days. However, our system thresholds* have not been hit yet. This means the system is acting in an anomalous fashion. Let’s identify the specific anomalies that are influencing this CPU trend.

delta bravo, predictive analytics for database, SQL Server

In the graphs above, the gray shadow is a machine learning algorithm that represents the “acceptable range” or baseline for system behavior associated with that metric. We see that, while no thresholds have been reached for these metrics, behavior is outside the scope of the baselined “norm.” Why?

By selecting one of the graphs, we’re able to zoom in for more detail. The Blue lines represent specific Events that influenced the rise in that metric.

delta bravo, SQL Server, machine learning

By selecting the line prior to the large red spike, we see that an Object was altered. This procedure impacted Query behavior adversely. We are able to see the code that was used to alter the Object, as well as the quantified impact this change had on Query performance.

delta bravo, machine learning, AI for the database

Using AI to Recommend and Implement a Fix

From here, the AI runs through a series of possible fixes and identifies which ones will have the highest likelihood of success and prioritizes their impact. In this case, the recommended fix is adding a series of Indexes.

delta bravo, database AI, SQL Server machine learning

Similar workflows are applied to Security, Capacity planning and other aspects of database management. We believe the use case is changing; its no longer about monitoring, daily care and feeding. Using Machine Learning and AI to manage large database deployments helps your best people scale where you need them most, and for your systems to run at peak efficiency and performance.

*Delta Bravo has the ability to set thresholds, but we feel this is a dated and reactive way to monitor/manage system behavior.