Brian Lamkin is the Senior Vice President of Business Intelligence and Integrated Solutions Luckie & Co. For more than 28 years, Brian has held various IT, Data Warehousing, Sales Analytics, Marketing Analytics positions at Cash America International, Galderma Laboratories a division of Nestle Skin Health, and Smith & Nephew. Brian has an extensive background in database management, BI platform implementation, team leadership, and predictive analytics. Contributing to both Luckie offices, Brian works in Mansfield, Texas.
Turning Information Into Relevance
Rising expectations of consumers are dictating the appropriate and relevant use of data. Show me you know me. I will explore techniques and examples (good and bad) that use data to create, sustain, and grow relationships with your consumers.
Margaret joined Luckie’s BI & Analytics team after earning her master’s degree in marketing from the Culverhouse College of Business at the University of Alabama in 2020, driven to pursue a career that would allow her passion for storytelling and her skills in data analytics to work hand in hand. She has experience working across all of Luckie’s SBUs in addition to business development, helping them leverage data and analytics to solve the key business questions.
Turning Information Into Relevance
Rising expectations of consumers are dictating the appropriate and relevant use of data. Show me you know me. I will explore techniques and examples (good and bad) that use data to create, sustain, and grow relationships with your consumers.
The CEO, and Founder of ProcureVue™, is based in Charlotte, North Carolina. Cameron has spent his career developing solutions for complex problems utilizing modern advancements in technology. Starting with an idea designed to support a small family bakery in 2012, it has grown into a world-class, AI and machine-driven, value delivery system that is unmatched in the industry. Following Cameron’s graduation in mathematics at the University of North Carolina Charlotte, he joined Newell Brands. While there he was a founding member of a center of excellence for data analytics and helped develop tools and processes that were able to deliver $500MM+ in realized benefit. After leaving Newell Brands, Cameron received his M.Sc. in Operations Management – Decision Analytics from Alabama. He then transitioned into advanced AI R&D in the banking sector for a number of years before returning to his first love of supply chain and operational improvement. After more than a decade of development, Cameron founded ProcureVue in 2020 as a new hybrid supply chain consulting breed. Intending to reimagine how procurement executives deliver value to organizations, he introduced a proprietary software that helps provide value in a fraction of the time and resources of traditional methods.
The Certain Business Case for Analytics During Uncertain Times
Human trafficking refers to the transportation, harboring, or obtaining of persons through force, fraud, and coercion for the purpose of exploitation. Every year, millions of individuals spanning all ages, races, genders, and nationalities are victims of human trafficking across the globe. Sex trafficking, a form of human trafficking that involves sexual exploitation, has been facilitated through the use of online classified advertisements. Our team has been collaborating with law enforcement agencies at the local, state, and national levels since May 2019 to detect and disrupt sex trafficking activities identified by applying advanced analytics to ad data collected from the internet. Using the developed tool, our team has assisted several operations, which have led to more than forty arrests in Tuscaloosa, AL, since February 2021. The research team continues to work with law enforcement partners in Tuscaloosa, AL, Birmingham, AL, and Long Island, NY.
Raja Chakarvorty is the Chief Data Scientist for Protective Life. Protective is a national life insurance and annuity company that operates throughout the US and is headquartered in Birmingham, AL. Protective is a subsidiary of Dai-ichi Life, which is a global financial institution and is headquartered in Tokyo, Japan. His niche is to build Data Science capabilities from scratch. Raja is responsible for overseeing the company’s Data Science function. His team leverages data and advanced analytics to create a best-in-class customer experience and a targeted sales process with superior risk selection. Raja aspires to make Protective a data driven company. Prior to joining Protective in August 2017, Raja was the Head of Personal Lines Data Science at Hanover Insurance headquartered at Worcester, MA, leading the Data Science team focused on solving complex business problems using machine learning/AI & statistical techniques. Raja started his career at Travelers Insurance in Hartford, and worked on variety of data science problems focused on bodily injury severity, commodity forecasting, customer churn, claims etc. Raja earned his PhD in Physics from the University of Notre Dame and holds a MS and BS degree in Physics from the Indian Institute of Technology Mumbai and Banaras Hindu University.
Data Science Profession: Required Skills and its Usage in the Insurance Sector
The talk will be focused on Data Science profession, the skills required which are relevant to companies and how data science practice creates business value in Insurance sector.
Bart lives in Birmingham, AL with his 4 children and 2 dogs. A native of Hoover, AL, he went to Samford University and then Vanderbilt. After living in Nashville for 5 years, he returned home to Birmingham. Bart started off as a data analyst and statistician, and then focused on data science and ML (machine learning) as an individual contributor, before transitioning into leadership. He has been leading teams in advanced analytics and data science for approximately 7 years in healthcare, biosciences, and technology companies. Currently at Greenlight, he is building and leading a small ML team to have a big impact in an aggressive late-stage startup environment. Previously at Shipt, he led and grew the enterprise ML team and eventually specialized in operational machine learning models that drive pay and efficiency in the gig work environment. When he’s not doing data science or chasing children, he likes to play tennis and go running.
Data Science at Greenlight: Growing With Our Families
Data Science at Greenlight builds machine learning (ML) and advanced analytic solutions to drive our business. As one of the last pieces of the data team to be built, we are still in the early phases of building models and defining our process. As we grow, we strive to have both immediate impact, but also lay the groundwork for the future by being thoughtful about best practices, tools, and processes. We’ll look at data science’s operating model, tools, best practices, and vision for the future as Greenlight grows. While Greenlight and its data science muscles grow, so do the families we serve. As an example of the power of Greenlight’s data, we’ll look at what data tells us about how our families’ behavior changes as they grow. We’ll look at examples of a family’s journey. From what kind of chores kids get at different ages, to how a child ages through the app, we’ll see that our data gives us the power to personalize our product to better serve our families.
Ryan is a Managing Director in Accenture’s Applied Intelligence practice responsible for architecting and directing large data-led transformation programs. He is currently Accenture’s global data-led transformation lead for the Consumer and Packaged Goods (CPG) industry and is a frequent speaker on how organizations can prepare for large transformations that impact talent, technology, operating models, and business processes.
Building the Intelligent Supply Chain
Future-ready supply chains are intelligent, self-driving networks of growth. They’re built on a foundation of digital, data and AI to provide the visibility, agility and new ways of working needed to create 360° value, enterprise-wide. Companies expect their supply chains to deliver more—to be responsive to demand and resilient to change, to optimize costs and do good for society. To achieve all this, supply chain leaders must reimagine their supply chains for tomorrow. In this session we will talk about how Accenture has used advanced analytics to drive more intelligence into supply chain decisioning, and how we have addressed challenges in getting the data ready to power this intelligence.
Dr. Rubina Ohanian is a Managing Director with Accenture’s Applied Intelligence out of Atlanta. She manages the data science & ML/AI organization for the US South and leads a team of highly talented data scientists with deep technical skills who solve challenging and hard data and analytics problems. Dr. Ohanian is a passionate and experienced data transformation expert who specializes in advanced analytics solution development and deployment. She has substantial experience working with executives and their complex global organizations to define data driven strategies, deliver growth, innovation, and business value. Dr. Ohanian has over 35 publications in industry and scientific journals and is a frequent speaker at domestic and international conferences for Diversity in Data Science & Technology, Digital Transformation, and Cultivating a Data Culture.
Building the Intelligent Supply Chain
Future-ready supply chains are intelligent, self-driving networks of growth. They’re built on a foundation of digital, data and AI to provide the visibility, agility and new ways of working needed to create 360° value, enterprise-wide. Companies expect their supply chains to deliver more—to be responsive to demand and resilient to change, to optimize costs and do good for society. To achieve all this, supply chain leaders must reimagine their supply chains for tomorrow. In this session we will talk about how Accenture has used advanced analytics to drive more intelligence into supply chain decisioning, and how we have addressed challenges in getting the data ready to power this intelligence.
Dr. Erik Johnson is an Assistant Professor of Economics in the Culverhouse College of Business at the University of Alabama. He has a Ph.D. in Economics from the University of Colorado-Boulder and current affiliations with the Alabama Transportation Institute and the University of Alabama Institute for Data Analytics. His academic specializations include urban and rural economics, public finance, and machine learning. Dr. Johnson is also the CEO of several smart city tech startups that make use of artificial intelligence and machine learning (AI/ML) techniques.
Using Analytics to Detect Blight and Enforce Codes in Cities
Blight and code enforcement monitoring is a major expense for cities. The current monitoring process depends on community reporting via systems such as 311 or through code enforcement officers physically driving through neighborhoods. This process is reactive and by the time a property is identified it is often extensively blighted leading to high remediation costs. In addition, enforcement officers must perform several return trips to monitor the progress of remediation. Our process of automated code enforcement and blight detection is proactive and frees up code enforcement resources to focus on remediation. High quality and high frequency monitoring allows us to detect nuisance properties before they reach a ‘tipping point’, provides code enforcement officers with specific and universally defined code violations to help alleviate perceptions of bias, and helps cities prioritize remediation.
Born and raised in Mexico City, Octavio Flores joins Nestlé as the Vice President of Data and Advanced Analytics for Nestlé USA. Before this current opportunity at Nestlé, he was at Edenred, a leading service and payments platform, as Chief Information Officer – Americas. Prior to Edenred, Octavio worked his way up through Procter and Gamble, holding numerous positions with increasing responsibilities, including Sr. Director Mexico and Central America CIO and Share Services, Sr. Director Enterprise Advanced Analytics and Business Intelligence for Supply Chain, Sales and Retail Execution, and Vice President Enterprise Information Security Strategy, Application Security and Information Security Governance. Octavio received his bachelor’s in engineering in Computer Science, and a master’s in Business Administration (Business Management). He also holds numerous certifications, including but not limited to Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), and Certified Third Party Risk Management Certification (CCTRP). When he is not working, Octavio enjoys traveling, running, soccer, and reading. He is passionate about technology and is involved in many organizations including the USA Hispanic Information Technology Executive Council, and is a member of the University of Cincinnati, Center for Business Analytics, among others.
Value Driven Data and Advanced Analytics Strategy
The potential for data-driven business strategies and advanced analytics products is like never before, and for some enterprises, data and analytics have become a primary driver growing value in their business. A Data and Advanced Analytics strategy that is driven by value enables to focus on digital integration of analytics to create disproportional value for the business divisions and functions.