AI, & ML
Operational intelligence, powered by data
It’s time to put AI to work.
Artificial intelligence and machine learning are transforming the face of business and innovation, with use cases in customer service, marketing, HR, research, and a host of other functions. As transformative as these technologies are, there’s one thing they absolutely depend on: data. Specifically, AI and ML need clean, accurate data, and lots of it.
Every minute of every day, terabytes worth of data fly into, through, and out of your organization. Data science combines strategies from multiple disciplines to transform all that data into a strategic asset, providing stakeholders and smart applications with the insights they need to address today’s challenges and predict tomorrow’s opportunities.
To get from current state to “operational intelligence,” organizations need to evolve their strategy, team capabilities and structures, and technology. At Logic20/20, we partner with you to accelerate your data science journey and create unique insights and enhance your decision-making processes.
“Organizations worldwide are adopting AI in their business transformation journey, not just because they can but because they must to be agile, resilient, innovative, and able to scale.“
Ritu Jyoti, Program Vice President, IDC
Build analytics maturity to achieve operational intelligence
A well-planned data science roadmap can enable organizations to achieve their business goals—and realize additional benefits along the way. We start with the “you’re here” marker and implement new processes, technology solutions, and AI products to streamline your business operations.
Define analytics maturity
We meet you where you are today and create a 360-degree picture of your present data ecosystem.
– Domain-specific data models
– Data governance process map & templates
– AGILE data science process template
Build analytics strength
We define, communicate, and sponsor a transformative vision for your analytics transformation.
– Data science team assessment mix
– Cloud data migration template
– Machine learning ops template
Reach your efficiency and revenue goals and enable real-time operational decision making—all supported by analytics.
– Investment planning template
– Real time operations template
– Data mesh standards and vision
By leveraging proven best practices in data science, we transform your structured and unstructured data into a strategic asset that drives more profound insights, better-informed decisions, and game-changing business solutions.
We use statistical modeling, simulations, and data visualization to transform raw data into business-changing insights. Our findings are delivered in repeatable, scalable reports and data products that highlight actionable results.
We create decision aids, recommendation engines, and interactive dashboards to enhance workflows with machine learning. By combining the best of data science with domain expertise in AI & ML, we help our clients automate processes and heighten productivity.
Predictive models deployed to fully automate decisions, actions, and offers create new customer experiences and business capabilities. Our expertise in real-time systems allows us to deliver dependable advanced solutions that are designed to scale.
Logic20/20 has helped businesses in a broad range of industies leverage data science, AI, and machine learning to become more productive, more compliant, and more profitable.
Operationalizing machine learning intelligence for a major utility
Using machine learning to match job candidates
Elevating customer care with AI and machine learning
Drones plus AI: meet the future of utility asset management
The combination of drone technology and AI offers utilities an optimal solution to their asset management challenges.
3 ways AI is elevating customer service portals
Today’s customers demand quality self-service solutions within customer portals, and AI delivers the capabilities that can help businesses meet the challenge.
Enterprise AI: how to scale beyond the pilot
To scale AI beyond the pilot phase, organizations must anticipate and overcome the most common roadblocks and incorporate proven best practices.
Ready to start using data science to drive better decisions? Let’s talk.