A common cause for such problems is that organizations often latch on to cutting-edge AI techniques instead of correctly identifying problems that most benefit from AI. They try to fit techniques onto problems. As a result, they end up applying the wrong techniques to problems that may or may not benefit from AI. Plus, the newer AI techniques are often too new or too expensive to operationalize in a meaningful way.
Even when it comes to those organizations that have found and implemented the right AI solutions, measuring the metrics that matter, educating employees to maximize AI outcomes, monitoring models in production, and improving the technical quality of models prove to be constant struggles. This is precisely where Opinosis Analytics can help organizations unlock the full potential of AI. "We help organizations solve AI problems. We help them identify the right problems for AI, approach problems with the right techniques and solutions, develop and implement metrics that matter and coach teams to maximize AI outcomes—just what an organization needs to start seeing results from AI," says Kavita Ganesan, founder of Opinosis Analytics, who has over 15 years of experience in planning, managing, and delivering AI initiatives for organizations in North America.
In her upcoming book titled "The Business Case For AI," Kavita dives deep into the world of AI and offers valuable insights as to how business leaders can tap into the ultimate potential of AI for their business. In her book, Kavita unravels some of the mysteries in the integration of AI to help leaders prepare and launch AI initiatives for success.
Reimagine the Capabilities of AI
Opinosis Analytics helps organizations get results from AI through training, consulting, strategy initiatives, and pilot projects. With its in-depth knowledge of AI, the company works with technical and non-technical teams across an enterprise to improve outcomes from their AI initiatives. From solving organizational AI adoption challenges to coaching teams through developing custom machine learning and natural language processing solutions, the company assists organizations at different stages in their AI journey. Opinosis Analytics' service portfolio also includes helping clients gain insights from their unstructured data by helping them mine, analyze, and extract the best insights for critical decision-making.
In working with clients on a consulting project, the company follows three simple yet highly effective steps to identify and implement the right AI strategies and solutions. The first is to have a high-level understanding of the client’s problem, vision, and goals.
Once there is a big picture understanding, Opinosis Analytics proceeds to acquire more granular data from key stakeholders. For example, in helping teams fix model issues, they interview model developers and domain experts to understand the underlying assumptions, metrics setup, choice of algorithms, training data source, and other pertinent information. With this detailed information, Opinosis Analytics conducts their own analysis, performs the necessary research and then develops and implements a custom strategy or solution for the client.
We help organizations figure out and implement what they need to leverage the true capabilities of AI
One of the perks of working with a company like Opinosis Analytics is that they not only guide organizations in all aspects of AI but also direct them to other solutions if they find AI isn't the right solution. "I often find myself educating companies on why a specific problem is not suitable for AI, and why they should use simple software automation or consider alternative solutions instead," elaborates Kavita Ganesan. While most AI consultancies try to sell expensive research and development projects to clients, Opinosis Analytics stands firm on its values of providing just the right solution the customer needs.
With that unwavering mission, Opinosis Analytics has been helping organizations across the spectrum, from fortune 500 companies to smaller organizations, make the most use of AI in their business processes. In one instance, when a client struggled to optimize their text classification models that they developed in-house, Opinosis Analytics guided them towards getting better outcomes. The client's AI models behaved erratically on production data resulting in constant customer complaints. After gathering input from various stakeholders within the client’s company and carrying out independent evaluations, the Opinosis Analytics team found out that the model was trained on data that didn’t quite mimic the data in production. Further, some of the models suffered from a lack of variety in the data source used in developing the models. As the client company was not keen on investing further in data collection and model maintenance, Opinosis Analytics helped them successfully transition to a third-party AI solution that solved some of the client’s accuracy problems while also keeping costs contained.
Giving a glimpse into their future endeavors, Kavita envisions Opinosis Analytics expanding into enterprise-level AI training not so much for the technical people, but more for business leaders and domain experts who want to leverage AI in their organization and manage AI-driven innovation. "As more and more businesses realize the need for AI, leaders at different rungs of the organization see the need to be educated in AI. And this isn’t necessarily from a technical implementation angle, but more from a business angle, and we're looking to do more and more executive and business leader coaching and training," signs off Kavita on a buoyant note. If you'd like to work with Opinosis Analytics get in touch with their team.