It’s that time of the year again for the much awaited Rising event. Now in its third year, Rising is organised by Analytics India Magazine and celebrates women in data science, IT, industry and academia. Rising 2021 is a two-day virtual conference scheduled to be held on 21 & 22 May 2021. The conference will provide a platform to meet and support women developers and professionals in the field of data science. Leading women visionaries in the fields of AI and ML will be taking the audience on an insightful journey in this 2-day long event. Rising 2021 has a strong line up of speakers. Here are a few sessions that you should not miss:
1| AI in Agriculture
When: 21 May, 12:35 – 13:05
With more than 70% of the rural population depending solely on agriculture, falling average landholding size and minimal access to modern technology – the sector is facing a stressful situation. AI can be the way forward from prediction of weather to amount of inputs, identifying crop disease on time and many other valuable insights can ensure a shift in momentum for the sector. Roli Jindal of Cropalytics will be speaking about the same at Rising. Roli is the Co-Founder at RMSI Cropalytics and she is going to speak on how AI can be used in agriculture to minimise agrarian distress. RMSI Cropalytics specialises in crop yield measurement with AI/ML, remote sensing, advanced agri-modeling, and meteorological domain expertise. The experts have programmed machines to analyse satellite imagery, classify crops, and forecast crop yields in every visible farm.
2| Exploiting technologies to drive business outcomes
When: 21 May, 14:35 – 15:05
Businesses, especially in the post pandemic world, require a greater degree of technology adoption to further propel their growth. With automation and digitisation witnessing a wide scale adoption, technology driven businesses are the way to compete not just locally, but on a global scale too. In her talk, Madhurima will be exploring how technologies can be exploited to drive business outcomes.
Madhurima is the Director – Engineering Programs at NetApp India & Leader – NetApp Excellerator. She is going to speak on how in the coming years, business performance will be determined by the technology investments made. Businesses can gain agility, scale, and productivity by leveraging cloud, SaaS solutions, IoT, Data, and automation. The discussion will provide us the need and gain that can be made from the same.
3| Demystifying MLOps – What is MLOps and Why is this a hot emerging topic?
When: 21 May, 19:25 – 19:55
MLOps is the buzzword of 2021. Everyone wants to know about it. MLOps enables automation of ML pipelines. The techniques and tools make productionising easier than ever before. Successful implementations and efficient operations have emerged as the main bottleneck to getting immediate value from Machine Learning systems as nearly all industries embrace it at a rapid rate. Organisations are betting big on MLOps and you wouldn’t want to miss this talk by Hamsa B if you want to know more about MLOps.
Hamsa Buvaraghan is the Smart Analytics and AI Platform Solutions Manager at Google and she will be demystifying MLOps for all of us at the Rising event.
4| AI in Racket Sports
When: 21 May, 16:30 – 17:00
Sports is one of the emerging fields and sports persons nowadays are much more concerned about their game, gaming style, skill-sets, fitness and are very much keen to enhance their results. Data-driven insights can help athletes improve their performance and step out with the best possible decision making.
Megha Gambhir is the Co-Founder & CEO at Stupa Sports Analytics and at Rising she is going to talk on how the use of AI has impacted the world of sports. Both data analytics and artificial intelligence are used extensively in sports to improve audience interaction and spectator experiences through graphics, stats, replays, AR/VR, game strategy, coaching assistance through replay time analysis, and Match predictions, Player predictions, and so on.
5| The Healthcare Industry and Artificial Intelligence (AI)
When: 21 May, 17:05 – 17:35
As the pandemic hit, one of the hardest hit sectors was healthcare. Post-pandemic requires a robust health sector with minimal human-to-human interaction. Artificial intelligence is the use of machine-learning algorithms and software to imitate human cognition in the study, presentation, and comprehension of complex medical and health-care data.
Mitali Dutta is the Head of Data Science and AI&ML – Enterprise IT at Philips and she is going to speak on the impact of AI in healthcare. At a high level she will cover what AI emphasizes on healthcare. It will briefly talk about the challenges of leveraging AI in healthcare. Finally there will be a discussion around how the industry can adapt to AI.
6| How AI in Logistics helped during the pandemic
When: 21 May, 18:15 – 18:45
Logistics and supply chain can also be termed as the backbone for the industry to survive in the future to come. Adoption of AI and technology for the sector will result in cost reduction, enhanced efficiency and is the potential answer for the safety concerns. Moreover, it’s high time for the adoption of high-end technology for route optimisation and quick decision making.
Manisha Raisinghani, co-founder and CTO at LogiNext will be talking on how during the pandemic and in the future, automation across the entire global supply chain is critical. LogiNext itself assists businesses in digitising and optimising their supply chains and logistics. Being from the industry itself, this conversation will help learn more about how AI and machine learning are transforming the face of logistics.
7| Teaching analytics for teacher data literacy
When: 21 May, 18:50 – 19:20
Every student is important and the learnings we provide to our students in the schools will be the key factor for the futuristic growth. Teachers need to equip themselves with the best possible skill-sets, understandability about their students, and even the teaching style.
Surabhi Goel is the CEO at “Aditya Birla World Academy, The Aditya Birla Integrated School & Aditya Birla Education Academy,” and she will discuss how in the education sector, data science and analytics have become indispensable. Student results are directly linked to teacher data literacy. Teachers today must regularly capture, analyse, and interpret data while teaching in the classroom. This data may also help a teacher better her or his teaching methods and therefore the results.
8| The Importance of introducing AI to young students
When: 22 May, 09:15 – 09:45
Pranjali Awasthi is a Machine Learning researcher and at Rising, she will be talking about the early adoption of AI for young students. Whether it’s incredibly low-cost diagnostic systems or automating business processes that have been manual for years, AI and superior data analytics methods are revolutionising every industry. This explains why it is important to begin teaching analytics and AI to children at a young age. More specifically, educating women in AI has the potential to increase female involvement in technology by a large number of people, as AI has applications in a wide range of fields, from politics to fashion.
9| Career path of an AI business leader
When: 22 May, 19:25 – 19:55
AI jobs are the hottest in the town right now. The resources are so abundant that it is possible to feel lost in this ever growing field. Beena Ammanath is here to help us. Beena is an Executive Director at Deloitte AI Institute; Founder at Humans For AI. At Rising, she is going to discuss the education/training background. She will be addressing most pressing questions of our time:
- Key traits needed for success in AI?
- How do you build an AI business?
- What are the challenges?
- How has it been being a woman in AI?
- Why is it important to have more women in AI? And more.
10| Workshop on Medical Image Classification and Segmentation using Deep Learning with Tensorflow2
When: 22 May, 12:25 – 15:30
Anup Kumar is the Tech Lead and Soniya Singhal is the Staff Engineer at Stryker and in this virtual workshop, Anup and Soniya will be walking us through ML implementation for medical use cases. They will be using the TensorFlow framework for this session and will be quite useful for those who want to get hands-on experience.