Changing The Way Businesses Do AI
Why Opinosis Analytics
After witnessing and hearing of multiple failed AI projects, often completely avoidable with simple improvements in organizational strategy, I knew there was a better way to do AI for businesses. I saw problems caused by both well-intentioned machine learning professionals who lacked critical business understanding, as well as apprehensive executives feeling overwhelmed when it came to leading AI transformations. The engineers would often steam ahead creating complex and expensive solutions that often couldn’t be shipped. And the leaders would often struggle to deliver growth for their organization because they didn’t feel comfortable navigating AI.
With AI becoming more accessible, these same scenes are playing out across thousands of organizations today. It was as clear to me then as it is now, that if AI ever wanted to reach its maximum business potential, then the way we did AI had to change, and so Opinosis Analytics was born. At Opinosis Analytics, we give executives and companies the roadmap to navigate their specific AI landscape, without the jargon.
At Opinosis Analytics, we’re on a mission to change the status quo of AI in business through AI & NLP consulting, advisory, and workshops. We work with technical and non-technical teams across the enterprise to get companies results from their AI initiatives. Whether it’s uncovering C-blind-spots or a strategy for measuring success and optimizing models, we have deep AI knowledge to turn your team into AI stars, and your company into industry leaders.
Select AI Successes
Intelligent Data Analytics for Patient Experience Transformation
Customized AI Evaluation Strategy in E-Commerce
How We Improved AI Text Classification Accuracy By 60%
Discovering Promising AI Opportunities in Retail Customer Service
The customer service department of a mid-sized US-based retail company was lagging on several key metrics such as average response times, and first contact resolution rate. One of their consideration…
The Value We Bring to Your Organization
Business Results Focused AI
Most consultants are focused on techniques and research, but AI implementation success doesn’t lie in the techniques, they predominantly lie in the specific pain points that will be addressed, the business metrics that will be impacted, and whether the users will like the end product. Opinosis Analytics stands out among technique-focused advisors and engineers by understanding how to deliver the results executives want to see but don’t know how to achieve.
Problem First, Then Data
AI solutions should be first and foremost informed by the frustrations facing your business, not what is achievable with the data you have, in the format you have it in. At Opinosis Analytics, we’ve come across this story all too many times. The company had a bunch of data, and someone went ahead and got a big expensive project approved that was based on creating a solution based on the data that was available. But what is wrong in this scenario? It’s all backwards, that’s what! When you fit your problems and your solutions to your data, rather than fitting your data to your problems and solutions, you’re not setting yourself up for business growth. You end up with expensive AI projects that don’t solve your most pressing business problems. Or worse, projects that get stuck in the final stages after heavy investment and losses because they don’t solve any problem at all.
Accessible & Collaborative
We believe in making AI accessible to all stakeholders by breaking down barriers to AI understanding for executives, and to business-oriented AI for practitioners. With Opinosis Analytics there’s no AI elitism or unnecessary jargons, just down-to-earth business results focused AI strategy. We teach teams to collaborate and merge technical detail with business strategy to avoid projects contributing to the AI failure statistics.
In Our Customers Own Words…
Meet Kavita Ganesan, Founder of Opinosis Analytics
From the Founder
Hi, I’m Kavita Ganesan, an AI author, strategic advisor, educator, and founder of Opinosis Analytics. My passion is working with senior management teams and teams across the enterprise to help them optimize their business with AI by discovering high-impact AI opportunities and providing a roadmap for implementation. With over 15 years of experience, I’ve scaled and delivered multiple successful AI initiatives for fortune 500 companies as well as smaller organizations. My blog posts, coaching sessions, and open-source tools have helped hundreds of leaders and practitioners around the world.
I’ve developed deep expertise in AI for business through my years of working with various businesses as well as my computer science degrees, specifically a Master’s degree from the University of Southern California, and a Ph.D. from the University of Illinois at Urbana Champaign, with a specialization in Applied Artificial Intelligence. As a result of my work over the years, I’ve been featured by numerous media outlets including Forbes, CEOWorld, VentureBeat, CMSWire, Verizon, SDTimes, Techopedia, and Ted Magazine.
Get My AI Book For Your Team
The Business Case for AI
A Leader’s Guide to AI Strategies, Best Practices & Real-World Applications. By: Founder, Kavita Ganesan
In this practical guide for business leaders, Kavita Ganesan takes the mystery out of implementing AI, showing you how to launch AI initiatives that get results. With real-world AI examples to spark your own ideas, you’ll learn how to identify high-impact AI opportunities, prepare for AI transitions, and measure your AI performance.
Simple and compelling, The Business Case for AI gives leaders the information they need without the technical jargon. Whether you want to jumpstart your AI strategy, manage your AI initiatives for better outcomes, or simply find inspiration for your own AI applications, The Business Case for AI is your blueprint for AI success.
REAL-WORLD AI EXAMPLES
Discover ideas for applying AI in your business to increase revenues, optimize decision-making & eliminate inefficiencies.
INDUSTRY MYTHS & MISCONCEPTIONS
Learn what’s true, what’s hype, and what’s realistic to expect from AI and machine learning systems.
Learn how to spot lucrative AI opportunities in your organization and capitalize on them in creative ways.
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