A visit to DMart or Reliance Retail in India on any given day would make one think about Black Friday sales. The limited manpower in stores often falls short to tend to the swarm of shoppers in Indian retail stores. To solve the issue, Scribble Data strives to provide automated and customised solutions for retail businesses to tend to the demand and needs of every customer that walks in through their door. The startup offers retail chains real-time inventory management, identifies customer shopping trends, and provides personalised recommendations. Scribble Data helps businesses build machine learning (ML) applications for making their daily operations hassle free and for creating more market-worthy ML features.
Founded in 2018, Bengaluru-based Artivatic AI uses AI to assist insurance companies in building personalised risk profiles of customers, track and understand their financial and behavioural journeys, and develop real-time intelligence based on those patterns. "InsurTech is a specialised branch of fintech earmarked for insurance use cases by leveraging forever-evolving AI capabilities and mining multi-source big data via ML algorithms to acquire better insights of our users and offer the best advice and analysis. Artivatic is an AI firm, and we're streamlining insurance and healthcare as our basic model via insurance tools," said Layak Singh, CEO of Artivatic AI. In an exclusive interview with Analytics India Magazine, Layak spoke about how the firm embeds ethics into its AI systems. Layak Singh: Artivatic has gone beyond that requirement of servicing only clients to actually offering 360-degree support to all of our stakeholders, from insurance providers and TPAs to agents, underwriters, users, and any other peripheral ones.
Japan-based technology major Fujitsu has announced its new research centre in India. The research centre located in Bengaluru aims to strengthen focus on research and development (R&D) into artificial intelligence (AI) and machine learning (ML) technologies, as well as quantum software. Fujitsu India, in a statement, said the number of its researchers will reach 50 by fiscal 2024. The Group will expand its research fields into security and other areas. It will also conduct software R&D in collaboration with Fujitsu's global network of research centres in areas including Japan, Europe, and the United States to create software for global distribution, the company said in a statement.
Japan-based Fujitsu has announced a key development in its global innovation strategy with the establishment of a new research centere'Fujitsu Research of India Private Limited' (FRIPL), on April 1, 2022. FRIPL represents the latest addition to Fujitsu's global R&D network and will focus on research and development into artificial intelligence (AI) and machine learning (ML) technologies, as well as quantum software. As one of its first key initiatives, FRIPL will embark on joint research with the Indian Institute of Technology (IIT) Hyderabad (1) and the Indian Institute of Science (IISc), Bengaluru (2) to promote innovation in leading-edge AI technologies. The joint research activities will initially focus on improving the accuracy and resilience of AI and machine learning technology. R&D with the IIT Hyderabad will focus on AI technology to discover causal relationships with higher accuracy, while collaboration with the IISc will center on technology to automatically generate AI through autonomous training in response to various environmental changes.
Bengaluru-based Aprecomm provides AI-enabled Wi-Fi solutions for enterprises, SMBs, retail and ISPs. The platform's AI stack transforms Wi-Fi routers from mere connectivity devices to smart devices. "At Aprecomm, we are fusing data science with domain expertise to build what we call autonomous networks which are agile and responsive through a collaborative approach, by distributing the intelligence between the edge and the cloud, ensuring optimal resource usage and faster responses in real-time," said Guharajan Sivakumar, CTO and co-founder of Aprecomm. In an exclusive interview with Analytics India Magazine, Guharajan spoke about Aprecomm's approach to AI governance. Guharajan Sivakumar: CSPs (Communications Service Providers) are putting tremendous efforts to orchestrate the content to end-users seamlessly through their complex network infrastructure consisting of wifi access points, SD-WANs, switches, routers, distribution switches, BGP routers and MPLS networks.
In keeping with its commitment to bring quality healthcare using the latest medical technology, Aster CMI Hospital in association with the Indian Institute of Science (IISc) in Bengaluru has launched an Artificial Intelligence (AI) lab. The Aster-AI lab is a collaborative lab, set up with the aim to build cutting edge AI products in the healthcare domain and bridge the gap between clinical medicine and technology by training healthcare professionals in AI. Dr. Azad Moopen, Founder Chairman and Managing Director, Aster DM Healthcare, Dr. Lokesh B, Consultant Neurology, Aster CMI Hospital and Dr. Phaneendra K Yalavarthy, Professor of Medical Imaging, Department of Computational and Data Sciences, IISc were present during the launch. Dr Yalavarthy has been instrumental in setting up the lab by providing the computational infrastructure and expertise. IISc, with its expertise in the development of AI methods, has become the natural collaborator with Aster CMI, which has the clinical expertise, to aide, translate, and validate the developed AI algorithms for clinical use.
Bengaluru, NFAPost: C3 AI (NYSE: AI), one of the leading Enterprise AI software provider, today announced the general availability of C3 AI Ex Machina, a next-generation predictive analytics application that empowers anyone to develop, scale, and produce AI-based insights without writing code. Analysts, operators, and subject matter experts across all industries and business functions are increasingly required to develop predictive and prescriptive insights compiled from vast and disparate datasets. While there are many no-code tools available that lower the barrier for users to build ML models and perform data analysis, none provide end-to-end capabilities that enable them to capture and process the volume and variety of data required, automatically generate interpretable AI models, and productise, deploy, and scale the results across their company. Current predictive analytics tools are typically complicated to use and limit the ability of their insights to drive real business outcomes. Con Edison's data analysts use C3 AI Ex Machina to identify malfunctioning meters in near-real-time, realizing significant business value.
According to a study by Harvard Business Review (HBR), Bengaluru has emerged among the top five cities in the world of AI, ranked at fifth position – and has the second-largest AI talent pool in the world. The other cities that topped the list include San Francisco, New York, Boston, and Seattle. Besides Bengaluru, other cities in India include New Delhi, Hyderabad, and Mumbai, ranked at 18th, 19th and 27th positions, respectively. In this study, the researchers highlighted the 50 cities with AI talent pools worldwide and evaluated them using a TIDE framework (i.e., talent pool, investments, diversity of talent, the evolution of the country's digital foundations). The researchers said that these factors collectively give companies a way to prioritise their AI talent sourcing choices by scoring the various locations on the concentration, quality, and diversity of the talent pool.
With the pandemic changing the job scenario and opening up newer avenues, upskilling has become a necessity, with a record high of 79 percent of professionals (including freshers) planning to upskill this year. Another 11 percent of respondents said they are considering the option. According to a report by edtech company Great Learning, titled'Upskilling Outlook in India 2022', the emergence of newer domains like Web 3.0, metaverse, NFTs, etc., has propelled this growth. Meanwhile, data science, artificial intelligence (AI), and software development were the top domains for upskilling, with over 43 percent of the respondents expressing their intent in data-focused domains, such as data science, AI, machine learning, and analytics, it added. Based on internal data from Great Learning, a survey was conducted by Pyxis with about 1,000 respondents from cities, including Bengaluru, Chennai, Delhi, Hyderabad, Mumbai, and Pune. Respondents were from information technology (IT) and business process management (BPM), banking, education and training, and automobiles, among other industries.