Bangalore, 19th March 2019
BRIDGEi2i is proud to announce that Paromita Mitra, Lead – Products & Solutions, has been recognized with a Women in AI Leadership Award by Analytics India Magazine at The Rising, an event organized by AIM to celebrate Women’s Day. The ‘Women in AI’ award recognizes the contribution of women technology leaders who have demonstrated considerable experience in data science and AI leadership in the analytics industry.
Speaking about the award, Paromita said ‘I want to thank the analytics community for this award, and I also want to thank BRIDGEi2i for the immense support and encouragement in my professional journey. I accept this award on behalf of all the women leaders out there who helping organizations drive change by leveraging AI and analytics. It is said that women have to work twice as hard to earn the same recognition as their male counterparts. I have the aspiration that as enterprises continue on this AI transformation journey, we make efforts to become more inclusive, by not only actively mitigating any gender biases but also by making efforts to create equal opportunities in enabling folks to overcome any inherent disadvantages owing to social mores. ’
Armed with a Masters degree in Economics from Delhi School of Economics, Paromita has about 15 years of experience in the analytics industry. When asked about the future of analytics, she replied ‘AI and Analytics today are not just buzzwords, but with ever-growing investments in AI, these are also key differentiators that will decide what companies will survive because they are getting to their outcomes faster and in a smarter and more resource efficient way, versus the ones that fall behind.’
Click here to know more about the award and the winners.
BRIDGEi2i is a trusted partner for enabling AI for Digital Enterprises by leveraging Data Engineering, Advanced Analytics, proprietary AI accelerators and Consulting expertise. BRIDGEi2i enables businesses to contextualize data, generate actionable insights from complex business problems, and make data-driven decisions across pan-enterprise processes to create sustainable business impact.