AI and ML Adoption: Leading Edge for Future-Ready Enterprise
In today's world, Artificial Intelligence (AI) and Machine Learning (ML) are entering the mainstream as companies look to elevate the customer experience, improve process automation, escalate innovation, enhance the employee experience, and increase margins leading to better business outcomes overall. It’s become imperative for organizations to stay agile, be resilient, and scale in the face of a pandemic while also prepare for themselves for the future.
Enterprises often spend a lot of time and energy rapidly building and deploying new models to solve complex business problems. However, most large enterprises still grapple with operationalizing these models so that the insights they deliver can be used in day-to-day business decision making. That’s why LTI’s product team is trying to build tools that accelerate the model development and deployment journey. As Gartner quotes, "More than half of the successful artificial intelligence pilots never make it to the deployment stage; thus, data and analytics leaders struggle to capture value from their AI investments."
So, let’s hear from our experts on setting up the right MLOPS framework with best standard processes and tools to avoid common pitfalls of engineering around AI / ML. They’ll also share the secret recipe to delivering the best in breed experience for the developers to accelerate the production journey.
Join this webinar to discover how AI and ML adoption leads to success. Key takeaways for the audience:
- Impact of AI and ML adoption on the speed of business
- How to choose the right MLOPS tools to scale your AI efforts
- How to reduce compliance and audit risk with a collaborative environment
- How centralized and controlled model management leads to faster decisions and a gradual reduction in investment cost
- Tightened governance and security controls on a secure hybrid and scalable environment
- Infrastructure leading to Trustworthy / Explainable AI
Our webinar will address:
- Introduction, current trends, and the best methods, approaches, and techniques in AI & MLOPS
- Business benefits of MLOPS Technologies impacting AI & ML adoption
- Challenges faced by companies to scale their AI efforts
- Technologies and Organizational strategies needed for optimizing MLOPS
- Use cases across different industries Q&A
Speakers
Satyakam Mohanty
Head - Data Products Unit
LTI
With over 20 years of experience in the field of insights and analytics, Satyakam Mohanty (Saty) is a firm believer that data science, artificial intelligence, and human ingenuity create the perfect concoction for building a data-driven enterprise. Saty specializes in AI solutions, advanced data analytics, consumer insights, and market research across multiple industry domains. Prior to joining LTI, Saty was living his entrepreneurial dream as the founder and CEO of Lymbyc, a specialist artificial intelligence, machine learning, and advanced analytics start-up in India. As the head of the Data Products Unit at LTI, Saty is responsible for the roadmap and vision for LTI’s Data Products Suite, and the development & support of it and continues his passion to bring the best-of-breed enterprise products to help organization take better decisions.
Shivanand Pawar
Product Head
Mosaic AI
Shivanand Pawar is product head for Mosaic AI, a proprietary AI platform by LTI. With 10+ years of experience, he is a hands-on expert in data science, big data, Kubernetes, and application development. Shiva is actively involved in consulting with clients across various domains in adopting big data and machine learning and operationalizing AI/ML at scale. He brings in immense knowledge around the challenges of machine learning adoption and how a systematic approach simplifies the journey and assures ROI.
Ankita Gupta
Head, IFRS9 and MRM Technology
Standard Chartered Bank
Recognized as Digital thought leader carrying extensive years of experience with innovative mindset driving the culture of diversity & inclusion and contributing to the company’s vision & mission.
Ankita heads the IFRS9 and Enterprise Risk Management technology domain for the bank and is known for driving innovation , digital transformation , maximizing operational excellence and delivering financial performances to identify, evaluate, mitigate, and monitor the company's enterprise risk.
Before her current role , Ankita has worked in similar capacity at various other technology domains within Standard chartered like GRC (Governance, Risk and Compliance) and Liquidity. She has been an avid contributor to the Diversity and Inclusion index for the organization and runs various initiatives supporting the company's D&I agenda.
After studying Information Technology at UP Technical University from India Ankita worked with Fortune 500 companies which opened new avenues for her in terms of professional growth and identifying her interests in enabling next generation technology solutions and enablement.
She is currently based in Singapore.
Tony Ohlsson
Chief Data Officer
Volt Bank
Tony has extensive experience in financial services and advanced analytics in senior leadership roles in Australia, and with major banks globally. Tony is the founder of global Data Science consulting group AlphaZetta and led Teradata’s International Centre of Excellence for financial services, retail and communications industries.
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