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Every product has a story to tell. DeZaView’s mission is to craft powerful
content and ensure that the story behind your product and processes are well understood by your audience.. Artificial Intelligence, Machine Learning, Privacy-Preserving Data Exchange, AI for Health -we have worked on all areas and are ready for new ones.
From technical content, to blogs, to white papers, and online TV channels – the DeZaView team covers them all.
Advising on Product Strategy is another key area. Currently, DeZaView is leading the Product Strategy and Marketing Requirements for mPrivacy.com (a non-profit running out of the Silicon Valley)
Responsible use of data to address the world's biggest challenges -Privacy-Preserving Data Exchange Standards
As we look back, it seems a pandemic like Covid-19 was staring at us in our faces - almost testing our abilities to respond quickly and in a coherent manner.
There is a need to develop data exchange standards that are privacy-preserving, risk aware and designed in a way that they can deliver mobile data insights at scale. We need to think of new standards to help the world react to crises throughout the next decade and beyond. Developing a standardized approach could unlock great potential.
In this paper we describe the mechanism for privacy-preserving date exchange for societal good.
The framework proposed was developed on the basis of three key considerations: security, privacy and risk. It is aimed to make the solution privacy-friendly and risk averse to avoid any conflict between the interest of the government and the citizens. A secure and privacy-friendly solution would safeguard the personal data of the citizens and the risk-awareness of it would identify the practical models of operation for the governments.
AI for Health: Global Opportunity for Data Transparent Health Ecosystem
The problems in health are too big and the potential AI offers is too enticing to not try. It is not easy; but definitely not impossible to achieve.
Healthcare will benefit from innovative digitization with an economic model built around data and services. No longer can we say, that we tried everything to help the patients and the underprivileged. The time to do this is now. In today’s interconnected world, the emerging economies that adopt AI for Health will be at the forefront of transforming health for the whole world.
A.I. Unbound & Unplugged
AI Unbound: Cybersecurity
AI Unbound Channel
Currently, responsible for the product strategy of the mPrivacy framework.
A rapid data exchange helps in building mathematical models which in turn optimizes the effectiveness of the response by health authorities. AI is as good as the data it learns from. All this makes data the most important factor in building a machine learning model. When models are built using data that covers a large population (feature phones and smartphones), the model is likely to be more effective.
Meet the Team
MEET THE TEAM
DeZaView, CEO & Founder
Alka Asthana (CEO, DeZaView.ai) works at the intersection of AI Strategy and AI Content. Her focus is on an AI that can deliver, perform, sustain and endure the written and unwritten social contracts with all stakeholders. The challenge for AI is that it appears to be a black-box; key is to explain it well and this fear would vanish.
Alka is working at mPrivacy.org on setting standards for data exchange in a privacy preserving & risk aware manner. She is associated with AISquare for Covid-19 in various capacity. She has published papers on AI + Health and has written White Papers and blogs on topics like Predictive Analytics and Big Data .
Prior to DeZaView, she worked as Director Product Strategy (HCM) at Oracle (Redwood Shores, California) where her focus was on building the new Fusion HCM product and she was responsible for its primary rollout.
Supporting communities is a theme close to Alka’s heart. She co-founded a skills-based company DeZaView Skill Smart in Mumbai that provides training to the unemployed youth in India. Annually, DeZaView trains about 800 youth from low-income families in skills such as electrician, mobile repair, CNC machining, home electronic devices and retail sales. About 70% get placed in organizations (like L&T, Godrej, RBI, Siemens, Reliance Industries) every year.