CIO Insider

CIOInsider India Magazine

  • Rishi Bagga,     Co-Founder

    Rishi Bagga, Co-Founder

  • Cogniticx is a Managed Gig Talent ecosystem, similar to Upwork, in the niche areas of data sciences and digital technologies. We are by far the first and largest digital and data science Gig Market ecosystem in the country. We enable enterprise, small and medium-sized businesses to consume technology and achieve results faster than it would take in commercial software deployments, by delivering Decisions as a Service (DaaS). On the supply side we look to generate work opportunities for millions of talented youth iin India. We have approximately 25,000+ service partners who are assessed and ratified across our platform, servicing a client roster that includes some of the leaders in the global IT, ITeS and Consulting space such as Infosys, Ernst & Young, Price waterhouse Coopers, Genpact, Grant Thornton, and EXL among others.

  • Cogniticx: Leading-Edge Gig Talent Ecosystem In The Indian Digital & Data Science Landscape

Machines Have Been Learning for A while Now

By: Sujith Vasudevan, Managing Editor

The fans of neither Tom Cruise nor Steven Spielberg would forget the duo’s 2002 sci-fi blockbuster Minority Report. In an iconic scene in the movie that portrays events occurring in 2054, a GAP store advertisement

Thematic Trends in Artificial Intelligence for 2022

By: Gurbans Chatwal, VP, Technology, Fiserv Global Services

The broad spectrum of Artificial Intelligence (AI) technologies stretches from experimentation stage to established business applications. We have seen AI

10 Most Recommended Machine Learning Startups - 2022

Digitizing Operations is the Only Way to Survive

By: Puneesh Lamba, CTO, Shahi Exports

Globally, leaders are aiming to enhance organizational performance through the use of digital technologies. These have become core of every organization's strategy these days, and the


Rule the Data Democracy with an Intelligent Marketing Suite

By: Raahul Seshadri, Director - Engineering, WebEngag

Herb Kelleher, the founder of Southwest Airlines, once said, “I tell my employees that we're in the service business, and it's incidental that we fly


Managing the Information Security Risks in the Age of Connected Production Systems

By: Ravikiran S Avvaru, Head – IT, Apollo Tyres

The proliferation of connected devices is well-known and documented with the potential of crossing 20 billion connected things by the time


Digital Ecosystem Build

By: Srivaths Varadharajan, Global Fintech & Digitech Evangelist

Digital experience defines the need for engagement with 360 degree approach cutting across all interfaces.Usually business with traditional mindsets go with offline journey.

  • 10 Most Recommended Machine Learning Startups - 2022

    In the present decade, the impact of IoT is prevalent across industries. Today, every organization prefers staying ahead of the technology curve by strengthening its competitive advantage. However, it is the big hyped technology like AI and Big data that play a significant role with their convergence in leading such companies towards extensive growth, helping them tackle their pressing business challenges. Where AI (encompassed with a vast domain of technologies like Machine Learning, Robotics, and Automation) requires a huge scale of data to learn and improve decision-making processes, big data analytics leverages AI for better data analysis. Also, today, the efficiency of AI and ML integration can be seen in many successes like smart cities, manufacturing, and automobile domains. Well, this is a continuous process where growth will be limitless, pushing the limits of innovation and raising customer expectations each day. At present, there is a rise in the demand for professionals skilled in ML across industries. According to the reports, from an estimated market size of Rs. 839.55 billion in 2020, the global machine learning market is expected to reach Rs.7632.45 billion by 2027, expanding at a CAGR of 37.16 percent. Amongst many existing players, there are many surfacing startups too who are dedicated to relish this enormous opportunity. In this issue, CIO Insider has come up with a list of ‘10 Most Recommended Machine Learning Startups - 2022’ who have proved their proficiency in the sector with a deep knowledge in technology. The following list is prepared closely scrutinized by a panel of judges consisting of CEOs, CIOs, CXO, analysts, and our editorial board. We believe that these platforms will help in transforming business processes through their significant expertise and knowledge.

10 Most Recommended Machine Learning Startups - 2022

Company Logo Company Name Company Management Company Description
BugendaiTech BugendaiTech Roushan K., CEO Specialized in delivering endless answers to customers' everyday needs by using current concepts
Cogniticx: Leading-edge Gig-Talent Ecosystem in the Indian Digital & Data Science Landscape Cogniticx Rishi Bagga, Founder & COO Democratizing the consumption and delivery of data sciences and digital technology as well as generating value-added job opportunities for STEM talent in India
DataToBiz DataToBiz Ankush Sharma, Co-Founder Delivers the precise information/insights to visualize the facts and take the required decision with faith when it comes to making a business move
Day One Technologies Day One Technologies Jayavardhan N. Bellahalli, Founder Offers end-to-end business solutions to entrepreneurs and enterprises and pilot innovation through futuristic products that impact the entire ecosystem
NeenOpal NeenOpal Himanshu Bahmani, Director Aims to bridge the gap between analytics and day-to-day decision making by coming up with statistical insights and integrating them with the external environment in which the organization operates
Neurapses Technologies Neurapses Technologies Ram Kishan Sharma, Director One of the leading and innovative machine learning company in India, serves organizations with their machine learning solutions in a wide range of sectors
Saviant Consulting Saviant Consulting Anubhav Dwivedi, Founder Provides useful intelligence to their industrial enterprise clients, instead of just smart devices & smart systems
ThirdEye Data ThirdEye Data D. J. Das, Founder Enables enterprises to make business decisions by leveraging data & AI technologies and delivers end-to-end data and AI services & solutions for enterprises worldwide
 Waterlabs AI Technologies: Exceptional Automation Capabilities for Healthcare Revenue Cycle Management Providers & Payors Waterlabs AI Technologies Kamal Raj, President and CEO An end-to-end enterprise AI platform that automates and accelerates business processes without accessing any of the raw data
Yugasa Software Labs Yugasa Software Labs Ashish Mittal, Founder An AI enabled and NLP based chatbot which can be integrated into any website, e-Commerce and mobile app to receive customers or prospects 24x7 and do intelligent talks with them

Past Issues

  • The Fine Tunning ERA Of Machine Learning