With enterprises putting digital at the core of their transformation, our annual Data Science & AI Trends Report explores the key strategic shifts enterprises will make to stay intelligent and agile going into 2019. The year was marked by a series of technological advances, including advances in AI, deep learning, machine learning, hybrid cloud architecture, edge computing (with data moving away to edge data centres), robotic process automation, a spurt of virtual assistants, advancements in autonomous tech and IoT.
Everyone is talking about Artificial Intelligence — the new normal, which has entered almost every work process across industries. Enterprises are rethinking and strengthening their AI capabilities, using it as a tool to improve products and services. With AI becoming crucial to enterprise success, upskilling has become the new mantra among Indian IT professionals, who are keen to make an impact in their careers with Machine Learning and AI.
In our annual AI Study with Great Learning, we take a look at key AI trends dominating the Indian AI market-leading companies, professionals, salaries, jobs broken down by cities and how AI’s potential for industry growth has risen over the last few years. In the second half of the study, we cover AI literacy in India through Great Learning’s comprehensive AI/ML programs that are bridging the current skill gap and consequently boosting workforce transitions.
Data Science & AI Trends 2019 By AIM & AnalytixLabsRicha Bhatia
This document discusses 10 data science and AI trends to watch for in India in 2019. It begins with an executive summary noting that enterprises are putting digital technologies like AI, machine learning, and analytics at the core of their transformations. It then discusses each of the 10 trends in more detail, with quotes from experts about how each trend will impact industries and businesses. The trends include more industries utilizing analytics and AI, deploying models for real-time use cases, using data analysis for informed customer engagement, increasing investment in data infrastructure, analytics becoming more pervasive, the need for greater collaboration, personalized products, making analytics more human-centric, replacing centralized data with a single customer view, and the growth of voice and AI assistants.
Data Science Leaders Outlook In India 2019: By AIM & SimplilearnRicha Bhatia
In its fifth year, our Data Science Leaders Outlook in India 2019 in collaboration with Simplilearn takes stock of the analytics landscape in India and how enterprises have moved up the analytics maturity index. What was once viewed as a competitive advantage is now powering the core operations and helping companies launch entirely new business models. Analytics and Data Science has changed the dynamics of the industry, spawning a winner-takes-all market.
Analytics & Data Science In Indian Financial Sector - A Deep Dive 2019Richa Bhatia
The report titled, Analytics & Data Science In Indian Financial Sector - A Deep Dive 2019 by Analytics India Magazine & Jigsaw Academy gives a 360 degree overview of the financial analytics sector in India and gives a clear picture of leading financial companies that are moving up the value chain with a robust analytics practice and have a deep bench of financial analytics talent.
Analytics And Data Science Jobs In India 2019 – By Great Learning & AIMRicha Bhatia
In our annual study with Great Learning, we examine the landscape of job requiring data science and analytics competencies and skills. Our market snapshot gives a quick view of the evolving talent market and highlights how employees need to develop a blend of skills to strive ahead in data science roles. The report clearly demonstrates while skills in Python and Java are highly sought-after, a professional programmer or a data analyst should have the ability to learn new coding languages.
Study: Analytics and Data Science Jobs in India: 2020 – By Great Learning & AIMSrishti Deoras
This report outlines the functional analytics skills and programming languages that are most in-demand in the market. The report provides insights for recruiters and hiring companies so that they can study the demand for skills across the analytics function, and can identify and close any capability gaps across workforces. By highlighting the talent hotspots in the country, the report enables organisations to build a steady talent pipeline.
Analytics India Salary Study 2019 – by AIM & AnalytixLabsRicha Bhatia
Our annual Analytics India Salary Study presented by AIM and AnalytixLabs looks at the distribution of average salaries across years of experience, job category, region, industry, education, gender and tools and skills.
Addressing India's Reskilling Challenge - A Report By AIMRicha Bhatia
In our report, we dig into the educational stakeholder
landscape to see how they are transforming the skills market by
developing training courses and certification programmes that
correspond to in-demand skills required today. We look at the
type of educational institutions offering data and analytics
programs; how the educational landscape is changing in
response to the heightened demand for analytics skills and
what needs to be done to fill the skill gap.
Everyone is talking about Artificial Intelligence — the new normal, which has entered almost every work process across industries. Enterprises are rethinking and strengthening their AI capabilities, using it as a tool to improve products and services. With AI becoming crucial to enterprise success, upskilling has become the new mantra among Indian IT professionals, who are keen to make an impact in their careers with Machine Learning and AI.
In our annual AI Study with Great Learning, we take a look at key AI trends dominating the Indian AI market-leading companies, professionals, salaries, jobs broken down by cities and how AI’s potential for industry growth has risen over the last few years. In the second half of the study, we cover AI literacy in India through Great Learning’s comprehensive AI/ML programs that are bridging the current skill gap and consequently boosting workforce transitions.
Data Science & AI Trends 2019 By AIM & AnalytixLabsRicha Bhatia
This document discusses 10 data science and AI trends to watch for in India in 2019. It begins with an executive summary noting that enterprises are putting digital technologies like AI, machine learning, and analytics at the core of their transformations. It then discusses each of the 10 trends in more detail, with quotes from experts about how each trend will impact industries and businesses. The trends include more industries utilizing analytics and AI, deploying models for real-time use cases, using data analysis for informed customer engagement, increasing investment in data infrastructure, analytics becoming more pervasive, the need for greater collaboration, personalized products, making analytics more human-centric, replacing centralized data with a single customer view, and the growth of voice and AI assistants.
Data Science Leaders Outlook In India 2019: By AIM & SimplilearnRicha Bhatia
In its fifth year, our Data Science Leaders Outlook in India 2019 in collaboration with Simplilearn takes stock of the analytics landscape in India and how enterprises have moved up the analytics maturity index. What was once viewed as a competitive advantage is now powering the core operations and helping companies launch entirely new business models. Analytics and Data Science has changed the dynamics of the industry, spawning a winner-takes-all market.
Analytics & Data Science In Indian Financial Sector - A Deep Dive 2019Richa Bhatia
The report titled, Analytics & Data Science In Indian Financial Sector - A Deep Dive 2019 by Analytics India Magazine & Jigsaw Academy gives a 360 degree overview of the financial analytics sector in India and gives a clear picture of leading financial companies that are moving up the value chain with a robust analytics practice and have a deep bench of financial analytics talent.
Analytics And Data Science Jobs In India 2019 – By Great Learning & AIMRicha Bhatia
In our annual study with Great Learning, we examine the landscape of job requiring data science and analytics competencies and skills. Our market snapshot gives a quick view of the evolving talent market and highlights how employees need to develop a blend of skills to strive ahead in data science roles. The report clearly demonstrates while skills in Python and Java are highly sought-after, a professional programmer or a data analyst should have the ability to learn new coding languages.
Study: Analytics and Data Science Jobs in India: 2020 – By Great Learning & AIMSrishti Deoras
This report outlines the functional analytics skills and programming languages that are most in-demand in the market. The report provides insights for recruiters and hiring companies so that they can study the demand for skills across the analytics function, and can identify and close any capability gaps across workforces. By highlighting the talent hotspots in the country, the report enables organisations to build a steady talent pipeline.
Analytics India Salary Study 2019 – by AIM & AnalytixLabsRicha Bhatia
Our annual Analytics India Salary Study presented by AIM and AnalytixLabs looks at the distribution of average salaries across years of experience, job category, region, industry, education, gender and tools and skills.
Addressing India's Reskilling Challenge - A Report By AIMRicha Bhatia
In our report, we dig into the educational stakeholder
landscape to see how they are transforming the skills market by
developing training courses and certification programmes that
correspond to in-demand skills required today. We look at the
type of educational institutions offering data and analytics
programs; how the educational landscape is changing in
response to the heightened demand for analytics skills and
what needs to be done to fill the skill gap.
State of Artificial Intelligence in India 2020Srishti Deoras
Report developed by AIMResearch, in association with Jigsaw Academy, on the Artificial Intelligence Market in India as AI emerges as one of the primary Data Science functions across Enterprises in India
Analytics & Data Science Industry in India: Study 2019 by AIM & Praxis Busine...Richa Bhatia
Our annual Analytics & Data Science Industry In India: Study 2019 by Analytics India Magazine and Praxis Business School identifies the key trends and revenue drivers for the analytics industry. We take stock of the burgeoning analytics industry in India — domestic and outsourcing, the leading revenue generators, the geographies served and where the analytics market is heading.
This study evaluates the scenario of analytics and data science hirings across various industries such as retail, telecom, e-commerce etc, across cities, requirements in terms of experience & education, hiring trends and much more.
Data science ai_trends_india_2020_analytics_india_magazineSrishti Deoras
The document discusses key data science and AI trends to watch out for in India in 2020 according to a report by Analytics India Magazine and AnalytixLabs. Some of the major trends highlighted include the rise of hyper automation, development of more humanized AI products, advancements in natural language processing and conversational AI, increased focus on explainable AI, growth of augmented analytics, innovations in data storage technologies, greater emphasis on data privacy, raising awareness on ethical use of AI, and potential opportunities around quantum computing and data science. The report examines each of these trends in further detail to outline what companies and industries can expect to see changing or developing in the upcoming year.
Analytics India Annual Salary Study aims to understand a wide range of current and emerging compensation trends in Analytics & Data science organisations across India. The idea is to provide a reference point on key aspects around analytics salaries in India and potential future HR trends. It brings a cumulative picture of salary trends across company type, skills, analytics tools, cities, experience level, education level etc.
The study details about analytics professionals across company types such as captive centres, domestic firms, IT service providers, consulting firm and others, spread across various Indian cities.
Gender gap is another crucial area covered as a part of this year’s salary study. The pay scale of women analytics professionals seems to be at a lower end compared to male counterparts, and the study presents you with exact numbers.
It has been carried out by Analytics India Magazine in association with Great Learning. All salaries mentioned in the study are in Lakhs (L), per annum, in Indian rupees (wherever not mentioned).
The analytics industry is growing for sure and Analytics India Magazine in association with AnalytixLabs brings the Analytics India Industry study 2017 covering all the aspects of the analytics industry. The study is a result of extensive primary and secondary research conducted over a duration of two months.
State of analytics in domestic firms in India 2017 - by AIM & Cartesian Consu...Analytics India Magazine
Analytics industry in gaining importance in India and is being deployed across various sectors such as banking, finance, e-commerce, retail, and telecom. Tapping on to the growing analytics industry, the study gives us a quick insight into how the analytics scenario is evolving in the domestic market.
This year’s study has been co-presented by Cartesian Consulting, a global analytics services firm specialising in customer, marketing, and business analytics. We looked at 20 large Indian firms across industries that have adopted analytics to improve business.
In the latest edition of the Indian analytics study, AIM Research, in association with AnalytixLabs, provides insights on the overall analytics domain and the state of analytics across sectors and enterprises.
State of data_science_in_domestic_indian_market_2019_aim_sasSrishti Deoras
This document provides an overview of analytics and data science adoption in large Indian companies based on a study conducted in 2019. Some key findings:
- Analytics adoption has increased to 70% of large firms from 64% last year. Sectors like banking, auto and e-commerce have nearly 100% adoption.
- Mumbai accounts for 44% of analytics functions, followed by Delhi and Bangalore which together account for 91% of functions.
- On average, analytics penetration is 2.5% of employees and tenure is 4 years, up from 2.8% and 3.4 years respectively last year.
- Telecom professionals have the highest experience at 10.2 years while e-commerce has the lowest tenure at
Impact on Jobs across Emerging Technologies During the Current Pandemic Crisi...Srishti Deoras
Analytics India Magazine (AIM) along with Jigsaw Academy, has developed this study to focus on the impact on jobs across certain emerging technologies.
Analytics & Data Science Industry In India: Study 2018 - by AnalytixLabs & AIMAnalytics India Magazine
The data analytics market in India is growing at a fast pace, with companies and startups offering analytics services and products catering to various industries. Different sectors have seen different penetration and adoption of analytics, and so is the revenue generation from these sectors.
The Analytics and Data Science Industry Study 2018 takes into account various trends that analytics industry in India is witnessing, revenue generated through various geographies, analytics market size by sector, across cities etc. It also takes into consideration analytics professionals in India across work experience and education.
This year’s study is brought to you in association with AnalytixLabs, a pioneer and one of the first analytics training institutes in India. The study is a result of extensive primary and secondary research conducted over a duration of two months, where we got in touch with analytics companies and professionals across various industries such as banking, finance, ecommerce, retail, pharma, healthcare and others.
Analytics jobs scenario in India is constantly evolving. Companies are looking to hire professionals who are well-versed with new
tech concepts such as analytics, big data, data science, artificial
intelligence and machine learning, among others. While
there may be a huge variation in the skills sets, experience and
education requirement for these professionals across various
cities and industries, there is a constant rise in the overall demand
for analytics professionals with new jobs being posted each day.
Data Science Skills Study 2019 by AIM And Imarticus LearningPraj H
Our latest Data Science Skills Study 2019 by Analytics India Magazine and Imarticus Learning takes a deeper look into the key trends related to tools and technologies deployed across the sectors and how companies are staying ahead of the pack. As analytics and machine learning reaches deeper into operations, there is significant disruption at the workplace with data scientists and data analysts dabbling with newer tools.
In the latest edition of the Indian analytics study, AIM Research, in association with AnalytixLabs, provides insights on the overall analytics domain and the state of analytics across sectors and enterprises.
Gcr featured in Bisinfotech Magazine, August 2018GCR India
GCR featured in Bisinfotech Magazine August 2018. Amod Phadke, Director Sales and Marketing, GCR shared his views on Cloud- The New Job destination for Young India.
Incorporating artificial intelligence into your business systems and processes is a journey unlike any other digital technology implementation. Here is a five-step process for navigating it successfully.
In a world where smart machines augment human work, board members and C-suite
executives need a working understanding of AI before they define how they will
implement it successfully within their organizations. Fingent provides technology
solutions that ensure that the technical implementation and strategic adoption of AI
builds toward their long-term goals.
Ibm's global ai adoption index 2021 executive summaryEmisor Digital
Almost a third of businesses surveyed in the IBM Global AI Adoption Index 2021 report that they are currently using AI, and 43% say they accelerated their AI rollout due to the COVID-19 pandemic. However, lack of AI skills and increasing data complexity were cited as top challenges. While 74% of companies are exploring or deploying AI, the most common barriers are limited AI expertise, data complexity, and lack of tools to develop AI models. Ensuring AI systems are trustworthy, fair, and can be explained is also critical for businesses.
Google Accel Report - SaaS India, Global SMB Market, $50B in 2025 #SaaSinIndi...Accel Partners India
#SaaSinIndia
A joint report released by Google & Accel Partners outlined the growth opportunity for Indian SaaS Startups as SaaS adoption by SMBs is set to overtake that by large enterprises. The report outlines that purpose built SaaS products will see hyper growth and adoption by SMBs, and will contribute to more than 75% of the public cloud revenues driving the global SaaS industry to $ 132B revenues by 2020, of which SMB SaaS is expected to reach $76B.
Top data science and AI trends to watch out for in 2021 | AIM & AnalytixLabsSrishti Deoras
The annual data science and AI trends report by Analytics India Magazine aims to highlight the top trends that will define the industry each year. This report, which has been developed in association with AnalytixLabs, covers the trends that will shape the year 2021.
State of Artificial Intelligence in India 2020Srishti Deoras
Report developed by AIMResearch, in association with Jigsaw Academy, on the Artificial Intelligence Market in India as AI emerges as one of the primary Data Science functions across Enterprises in India
Analytics & Data Science Industry in India: Study 2019 by AIM & Praxis Busine...Richa Bhatia
Our annual Analytics & Data Science Industry In India: Study 2019 by Analytics India Magazine and Praxis Business School identifies the key trends and revenue drivers for the analytics industry. We take stock of the burgeoning analytics industry in India — domestic and outsourcing, the leading revenue generators, the geographies served and where the analytics market is heading.
This study evaluates the scenario of analytics and data science hirings across various industries such as retail, telecom, e-commerce etc, across cities, requirements in terms of experience & education, hiring trends and much more.
Data science ai_trends_india_2020_analytics_india_magazineSrishti Deoras
The document discusses key data science and AI trends to watch out for in India in 2020 according to a report by Analytics India Magazine and AnalytixLabs. Some of the major trends highlighted include the rise of hyper automation, development of more humanized AI products, advancements in natural language processing and conversational AI, increased focus on explainable AI, growth of augmented analytics, innovations in data storage technologies, greater emphasis on data privacy, raising awareness on ethical use of AI, and potential opportunities around quantum computing and data science. The report examines each of these trends in further detail to outline what companies and industries can expect to see changing or developing in the upcoming year.
Analytics India Annual Salary Study aims to understand a wide range of current and emerging compensation trends in Analytics & Data science organisations across India. The idea is to provide a reference point on key aspects around analytics salaries in India and potential future HR trends. It brings a cumulative picture of salary trends across company type, skills, analytics tools, cities, experience level, education level etc.
The study details about analytics professionals across company types such as captive centres, domestic firms, IT service providers, consulting firm and others, spread across various Indian cities.
Gender gap is another crucial area covered as a part of this year’s salary study. The pay scale of women analytics professionals seems to be at a lower end compared to male counterparts, and the study presents you with exact numbers.
It has been carried out by Analytics India Magazine in association with Great Learning. All salaries mentioned in the study are in Lakhs (L), per annum, in Indian rupees (wherever not mentioned).
The analytics industry is growing for sure and Analytics India Magazine in association with AnalytixLabs brings the Analytics India Industry study 2017 covering all the aspects of the analytics industry. The study is a result of extensive primary and secondary research conducted over a duration of two months.
State of analytics in domestic firms in India 2017 - by AIM & Cartesian Consu...Analytics India Magazine
Analytics industry in gaining importance in India and is being deployed across various sectors such as banking, finance, e-commerce, retail, and telecom. Tapping on to the growing analytics industry, the study gives us a quick insight into how the analytics scenario is evolving in the domestic market.
This year’s study has been co-presented by Cartesian Consulting, a global analytics services firm specialising in customer, marketing, and business analytics. We looked at 20 large Indian firms across industries that have adopted analytics to improve business.
In the latest edition of the Indian analytics study, AIM Research, in association with AnalytixLabs, provides insights on the overall analytics domain and the state of analytics across sectors and enterprises.
State of data_science_in_domestic_indian_market_2019_aim_sasSrishti Deoras
This document provides an overview of analytics and data science adoption in large Indian companies based on a study conducted in 2019. Some key findings:
- Analytics adoption has increased to 70% of large firms from 64% last year. Sectors like banking, auto and e-commerce have nearly 100% adoption.
- Mumbai accounts for 44% of analytics functions, followed by Delhi and Bangalore which together account for 91% of functions.
- On average, analytics penetration is 2.5% of employees and tenure is 4 years, up from 2.8% and 3.4 years respectively last year.
- Telecom professionals have the highest experience at 10.2 years while e-commerce has the lowest tenure at
Impact on Jobs across Emerging Technologies During the Current Pandemic Crisi...Srishti Deoras
Analytics India Magazine (AIM) along with Jigsaw Academy, has developed this study to focus on the impact on jobs across certain emerging technologies.
Analytics & Data Science Industry In India: Study 2018 - by AnalytixLabs & AIMAnalytics India Magazine
The data analytics market in India is growing at a fast pace, with companies and startups offering analytics services and products catering to various industries. Different sectors have seen different penetration and adoption of analytics, and so is the revenue generation from these sectors.
The Analytics and Data Science Industry Study 2018 takes into account various trends that analytics industry in India is witnessing, revenue generated through various geographies, analytics market size by sector, across cities etc. It also takes into consideration analytics professionals in India across work experience and education.
This year’s study is brought to you in association with AnalytixLabs, a pioneer and one of the first analytics training institutes in India. The study is a result of extensive primary and secondary research conducted over a duration of two months, where we got in touch with analytics companies and professionals across various industries such as banking, finance, ecommerce, retail, pharma, healthcare and others.
Analytics jobs scenario in India is constantly evolving. Companies are looking to hire professionals who are well-versed with new
tech concepts such as analytics, big data, data science, artificial
intelligence and machine learning, among others. While
there may be a huge variation in the skills sets, experience and
education requirement for these professionals across various
cities and industries, there is a constant rise in the overall demand
for analytics professionals with new jobs being posted each day.
Data Science Skills Study 2019 by AIM And Imarticus LearningPraj H
Our latest Data Science Skills Study 2019 by Analytics India Magazine and Imarticus Learning takes a deeper look into the key trends related to tools and technologies deployed across the sectors and how companies are staying ahead of the pack. As analytics and machine learning reaches deeper into operations, there is significant disruption at the workplace with data scientists and data analysts dabbling with newer tools.
In the latest edition of the Indian analytics study, AIM Research, in association with AnalytixLabs, provides insights on the overall analytics domain and the state of analytics across sectors and enterprises.
Gcr featured in Bisinfotech Magazine, August 2018GCR India
GCR featured in Bisinfotech Magazine August 2018. Amod Phadke, Director Sales and Marketing, GCR shared his views on Cloud- The New Job destination for Young India.
Incorporating artificial intelligence into your business systems and processes is a journey unlike any other digital technology implementation. Here is a five-step process for navigating it successfully.
In a world where smart machines augment human work, board members and C-suite
executives need a working understanding of AI before they define how they will
implement it successfully within their organizations. Fingent provides technology
solutions that ensure that the technical implementation and strategic adoption of AI
builds toward their long-term goals.
Ibm's global ai adoption index 2021 executive summaryEmisor Digital
Almost a third of businesses surveyed in the IBM Global AI Adoption Index 2021 report that they are currently using AI, and 43% say they accelerated their AI rollout due to the COVID-19 pandemic. However, lack of AI skills and increasing data complexity were cited as top challenges. While 74% of companies are exploring or deploying AI, the most common barriers are limited AI expertise, data complexity, and lack of tools to develop AI models. Ensuring AI systems are trustworthy, fair, and can be explained is also critical for businesses.
Google Accel Report - SaaS India, Global SMB Market, $50B in 2025 #SaaSinIndi...Accel Partners India
#SaaSinIndia
A joint report released by Google & Accel Partners outlined the growth opportunity for Indian SaaS Startups as SaaS adoption by SMBs is set to overtake that by large enterprises. The report outlines that purpose built SaaS products will see hyper growth and adoption by SMBs, and will contribute to more than 75% of the public cloud revenues driving the global SaaS industry to $ 132B revenues by 2020, of which SMB SaaS is expected to reach $76B.
Top data science and AI trends to watch out for in 2021 | AIM & AnalytixLabsSrishti Deoras
The annual data science and AI trends report by Analytics India Magazine aims to highlight the top trends that will define the industry each year. This report, which has been developed in association with AnalytixLabs, covers the trends that will shape the year 2021.
The document discusses how IT infrastructure is changing to adapt to new business priorities in the digital age. It introduces the "HEROES" framework for the future of IT infrastructure, which focuses on hybrid cloud architectures, edge computing, robotic process automation, obsolescence of old IT, and enterprise security. Artificial intelligence will be integrated across all areas of the framework and fundamentally change how organizations procure and consume IT infrastructure over the next five years.
What Does 2018 Have In Store For The Big Data IndustryPromptCloud
Since data is growing in size along with its variety of applications and business use cases, the coming years are definitely going to be eventful in the big data space. Here are some of the trends that we are likely to see in big data during 2018.
Professional services automation software was hugely popular for managed service providers and their customers in 2014, and this growth is expected to continue into 2015. Major players like Autotask and ConnectWise announced plans to integrate their platforms further. The trends of internet of things, big data and analytics, cloud security, and bring your own device are also expected to create new opportunities for managed service providers to offer services and boost their revenues in 2015. Gartner predicts over 25 billion internet-enabled devices will be in use by 2020.
Are you exploring the best way for your business to save expenses, enhance margin, or reinvest in the coming years? Check out the top technological advancements in business that are beneficial for business expansion and that result in a technology roadmap that has an impact on a number of the organization's strategic goals.
For more information, see: https://www.albiorixtech.com/blog/technology-trends-in-business/
#technology #technologytrends #webappdevelopment #mobileappdevelopment #softwaredevelopment
Gartner's top 10 strategic technology trends for 2013 could have major impacts over the next three years. The trends reflect increasing impacts of mobile, social, cloud and information technologies. The trends include 1) mobile devices and apps, 2) personal cloud, 3) the internet of things, 4) hybrid IT and cloud computing, 5) strategic big data, 6) actionable analytics, 7) mainstream in-memory computing, 8) integrated ecosystems, 9) enterprise app stores, and 10) cloud computing and hybrid IT driving future IT models. Adopting these trends presents both opportunities and challenges for organizations.
Evolution of AI ML Solutions - A Review of Past and Future Impact.pdfChristine Shepherd
Need to incorporate technologies that drive unparalleled advancements? If yes, leveraging AI and Machine Learning services helps enterprises to streamline operations and also usher in a new era of possibilities and societal benefits. Whether it's designing novel solutions, creating intelligent products, or optimizing workflows, AI and ML serve as catalysts for innovation, propelling enterprises into the forefront of their respective industries.
This document discusses 10 technology trends for 2019. The trends include: 1) Chatbots becoming better customer service tools, 2) Intelligent automation getting enhanced with strategic platform alliances, 3) AI augmentation setting records in application development, 4) Connected cloud showcasing tremendous agility, 5) Intelligent databases and machine learning bringing disruption, 6) Analytics hitting the accelerator as a closure catalyst, 7) Blockchain carrying on with gradual adoption, 8) Speech and image recognition making solid in-roads in data capture, 9) AR, VR and MR powering immersive experiences in retail, and 10) GDPR becoming a business opportunity through trusted customer relationships.
This document discusses 10 technology trends for 2019. The trends include: 1) Chatbots becoming better than ever at delivering customer support and documentation. 2) Automation getting an intelligent facelift through strategic platform alliances. 3) AI augmentation setting records through co-development with humans. 4) Connected cloud showcasing tremendous agility through hybrid models. 5) Intelligent databases and machine learning bringing disruption through noise reduction and precise insights. 6) Analytics hitting the accelerator as a closure catalyst with predictive capabilities. 7) Blockchain carrying on its boom but gradually with an emphasis on platforms. 8) Speech and image recognition making solid in-roads in data capture and reporting. 9) AR, VR and MR powering the
AI & Analytics Predictions of 2022. InfographicInData Labs
What does 2022 hold for artificial intelligence? Will the AI revolution continue to gain momentum?
This report will provide a look into the future of AI technologies, including:
- Strategic AI predictions and trends for 2022 and beyond
- The current and projected state of the AI market and its value
- Business functions that already benefit from AI implementation
- Industries where AI is making the greatest disruption
- The business value generated by Artificial Intelligence
- Costs of AI implementation and main challenges
Modernizing Insurance Data to Drive Intelligent DecisionsCognizant
To thrive during a period of unprecedented volatility, insurers will need to leverage artificial intelligence to make faster and better business decisions - and do so at scale. For many insurers, achieving what we call "intelligent decisioning" will require them to modernize their data foundation to draw actionable insights from a wide variety of both traditional and new sources, such as wearables, auto telematics, building sensors and the evolving third-party data landscape.
The document discusses 10 trends that will shape the business intelligence (BI) landscape in 2017 according to partners ImproveCX and TechStorm. These trends are: 1) artificial intelligence, 2) mobile BI, 3) modern BI, 4) data quality, 5) internet of things, 6) natural language, 7) data visualization, 8) self-service preparation, 9) big data, and 10) hybrid solutions. Each trend is discussed in 1-2 paragraphs highlighting how it will impact BI tools and analytics in 2017.
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING CAREER GUIDENcib Lotfi
The document provides information about career opportunities in artificial intelligence. It discusses various applications of AI across industries like healthcare, entertainment, banking/finance, marketing, retail, manufacturing and more. It outlines popular job roles in AI like software engineers, data scientists, AI researchers, intelligence specialists, consultants, AI data analysts, machine learning engineers, sales engineers, and product managers. The document also provides sample job descriptions for roles like artificial intelligence engineer and machine learning engineer. It discusses necessary skills for AI careers like Python, Java, R, machine learning frameworks, data science, analytics and more. Finally, the document shares success stories from the Post Graduate Program in Artificial Intelligence and Machine Learning (PGP-AIML).
AI is a data-driven game,
hands down, but predictions
will be accurate only if the
training data used to teach
the AI prediction model is truly
representative of the target
cases being classified or
predicted. If I had to put it in
one term, AI is basically about
decision-making—smarter
decision-making.”
Impact of Data Analytics in Changing the Future of Business and Challenges Fa...IJSRP Journal
Data Analytics refers to a comprehensive approach that makes use of both Qualitative and Quantitative Information in order to draw valuable insights and arriving at conclusions based on the extensive usage of statistical tools accompanied by explanatory and predictive models running over the data. It tries to understand the behavior and dynamics of businesses thereby leading to improved productivity and enhancing business gains by helping with appropriate decision making. Considering the intensified disruption caused by recent revolution in the field of Data Analytics, this articles aims to cover the potential impacts that Data Analytics could have over the already existing businesses and how new entrants, especially across the emerging economies, could make the best use of Data Analytics in gaining an edge over their competitors. It also aims to deep dive into the challenges faced by businesses while adopting or moving to Data Analytics and how they can overcome those challenging barriers for a successful future. .
Investing in AI: Moving Along the Digital Maturity CurveCognizant
Digitally mature businesses are more likely to consider themselves at an advanced stage of AI adoption, according to our recent study, enabling them to turn data into insights at the scale and precision required today.
Similar to 10 data science & AI trends in india to watch out for in 2019 (20)
The agenda of the talk has been broken down into two parts: 1. Query Understanding [30mins]: [Sonu Sharma] • NLP based Deep Learning Models for finding the intent of a Query in a particular taxonomy/categories: Description and Jupyter-notebook demonstration [20mins]: o Multi-Label/Multi-Class Classification Model from scratch in Keras o Feature Engineering in Spark Scala and pandas o Keras Functional APIs details in TF 2.0 o ImageNet moment of NLP - Latest invention in Word embeddings – ELMO and BeRT o Understanding Deep Neural Networks like Bi-directional Long Short-term Memory (BiLSTM) and character embeddings for language modeling • NLP based Deep Learning Models for Query Tagging with entities like Brand, Color, Nutrition, product quantity, etc. using Named Entity Recognition: [10mins]: o Building custom model in Tensorflow Estimator API o Traditional Word Embeddings like Glove, Fasttext etc. o Query (Text) Preprocessing o Sequence modeling using Convolutional Random Fields (CRF) o Saving and Restore heavy model in TF using SavedModel concept 2. Related Searches [20mins]: [Atul Agarwal] • NLP based Deep Learning Model for predicting Next Search Keyword – Model Description and Jupyter Notebook demonstration[20mins]: o Building Sequence to Sequence (Seq2Seq) model using Long Short Term Memory (LSTM) concept of Deep Neural Network in Keras o comparing different word Embeddings e.g. word2vec, fasttext, glove, etc. in popular AI framework such as gensim. o Keras Sequential APIs details in Keras o Similarity Search based on Facebook AI Research aka FAISS.
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You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Global Situational Awareness of A.I. and where its headed
10 data science & AI trends in india to watch out for in 2019
1. 10 DATA SCIENCE &
AI TRENDS IN INDIA
TO WATCH OUT FOR
2019
By Analytics India Magazine
& AnalytixLabs
2. Page 2 of 18
DATA SCIENCE & AI TRENDS IN INDIA 2019 Analytics India Magazine & AnalytixLabs
EXECUTIVE
SUMMARY
With enterprises putting digital at the core of their transformation, our
annual Data Science & AI Trends Report explores the key strategic shifts
enterprises will make to stay intelligent and agile going into 2019. The year
was marked by a series of technological advances, including advances in
AI, deep learning, machine learning, hybrid cloud architecture, edge com-
puting (with data moving away to edge data centres), robotic process auto-
mation, a spurt of virtual assistants, advancements in autonomous tech and
IoT.
With data championing technological innovation, analytics and AI has prov-
en to be a competitive advantage for businesses across functions, such as
sales, marketing, finance, customer service and IT.
Today, Data Science and AI has seeped into many business functions and
we are seeing increased collaborations between leading companies and
Data Science Service Providers, specializing in providing tailored solutions.
Another key takeaway is how companies are planning to increase their IT
budgets on analytics and data science.
A majority of our respondents believe the growing adoption of AI and an-
alytics has become a game changer across business functions and there
will be an uptick in niche sectors such as sports. A key trend this year was
core business processes being redesigned around AI to deliver advan-
tages beyond cost savings. RPA has been widely deployed to automate
well-defined, rule-based tasks and the spurt of virtual assistants in banking
has spawned a new age of Conversational AI in finance. On the other end
of spectrum, we will see an increased AI-cloud interdependency which in
turn will fuel the growth of public cloud companies. Organisations are also
realising the benefits of cognitive technologies to provide better insights.
This year we collaborated with AnalytixLabs, a leading Data science training
institute to bring out key trends.
Check out the top trends in Analytics and Data Science to dominate in 2019.
CONTENTS
Foreword
More Industries Are Going To Utilise Analytics & AI In A Big Way
Deploying Models For Real-Time Use-Cases
Data Analysis And Informed Customer Space
More Investment In Enterprise Grade Data
Infrastructure, Platforms & Cloud
Analytics & AI Is Becoming Increasingly Pervasive & Transparent
Complexity Necessitates Greater Collaboration
Personalised Products
AI Will Make Analytics More Human, Not Less
Centralised Data Will Be Replaced By A Single View Of All data
Voice & AI Assistants Are The Future
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3. Page 4 of 18 Page 5 of 18
DATA SCIENCE & AI TRENDS IN INDIA 2019 Analytics India Magazine & AnalytixLabs
We believe 2019 will be the year when AI
Revolution goes mainstream. Irrespective of
industry, this year with every client we have
witnessed applications of Deep Learning gaining
impetus and deliver effective solutions to some of
the most complex business problems. Certainly,
there is unprecedented potential for value creation
for organisations of all sizes. In fact, the fast-paced
growth of AI makes it more conducive for younger
businesses to leverage the technology earlier than
blue-chip companies.
The advancement in Machine & Deep Learning
techniques has increased exponentially in recent
times, making it possible to solve a much wider
variety of problems. This coupled with inexpensive
connectivity, scalable cloud computing, massive
collaborations, and low-cost devices, has allowed
the proof-of-concepts of the past to become
concrete reality.In the end, creating an intelligent
automation process (IPA) for real-time decision-
making is the catalyst to achieve operational
excellence, increase rate of business, build
competitive advantage.
It is really exciting that trends emerged from this
research report resonates with our perspective and
in a way reassures that investments we have made
in the field of AI Deep Learning will enable us to
deliver significant value to our clients. Hope you
enjoy reading this report and find it insightful!
FOREWORD
Sumeet Bansal
Founder & CEO,
AnalytixLabs
4. Page 7 of 18
DATA SCIENCE & AI TRENDS IN INDIA 2019 Analytics India Magazine & AnalytixLabs
MORE INDUSTRIES
ARE GOING TO UTILISE
ANALYTICS & AI IN A
BIG WAY
TREND #1
Enterprises in 2019 and beyond will continue to focus on
advanced solutions and adopt technologies like artificial
intelligence and machine learning to deliver a better
customer experience. The technology landscape will also
transition to an API-based ecosystem with AI and analytics
becoming more pervasive.
Page 6 of 18
In the coming year too, more and more industries and
services including automotive, healthcare, broadcast and
telecommunications, education, finance, consumer
electronics and multimedia will adopt and implement AI
to enhance customer experience, optimise and automate
processes.
Nitin Pai, Senior Vice President, Head of Marketing & Strategy, Tata Elxsi
While we have seen industries like financial services,
consumer product goods, telecom, healthcare etc. embracing
analytics in their decision making, adaptation of data driven
decisions will see increased application in sports in different
areas from performance analysis to fan engagement.
Indranath Mukherjee, AVP, Head, Strategic Analytics, AXA XL
AI in Automobile segment is showcasing Automated Guided
Vehicles (AVGs) to move materials around automotive plants.
Multi-recognition systems monitor and analyse data to derive
driver’s attentiveness or excitement level. AI enabled wearable
IOT sensors such as H-Vex protect the workforce ensuring
safety and increased productivity.
Dr. Muthukumaran Balasubramanian, Head – BigData, HTC Global Services
In 2019, Credit Risk Analytics will deep dive in the Lending
algorithm of New to Credit (NTC) using latest AI/ML tools.
While several fintechs have come up with incremental data
enrichment for this segment, Banks & NBFCs will soon see a
crystallised analytical way of managing NTC customers
through advance analytics.
Anand K Sundaram, GEVP, Data Analytics Center, YES BANK
The acceptance of AI, ML & DL started to happen in the last
few months and now will become the key to solve business
problems making it the way of life at organisations adopting
analytics . The acceptance and application will increase
significantly in global and Indian context solving business
problems, developing new use cases and developing
innovative products & solutions based on that.
Gurpreet Singh, Director & Founder, G-Square Solutions
5. Page 9 of 18
DATA SCIENCE & AI TRENDS IN INDIA 2019 Analytics India Magazine & AnalytixLabs
DEPLOYING MODELS
FOR REAL-TIME
USE-CASES
TREND #2
The emergence of real-time analytics has become the key
to unlock insights and up to 70 percent of organisations have
increased their spending on real-time analytics. The shift
towards real-time analytics is spurred by the growth in the
number of connected devices, which has driven enterprises
towards real-time edge analytics which is helpful in finding
correlations and hidden patterns, in turn helping business
leaders make better, informed decisions. In a similar vein, the
rapid development of connected devices and IoT applications
has pushed centralised cloud computing to the edge.
Page 8 of 18
In consumer internet companies such as from the domain of
e-commerce, machine learning models are being deployed
into the real-time serving infrastructure, whereby based on the
user’s actions within the session, propensity scores are being
computed to determine best set of product recommendations
along with dynamic pricing. This is being enabled by building
models using batch data, but performing scoring in real-time.
The challenges are how to employ models with enough so-
phistication to make significant impact, yet have a low latency
response to the in-sessions scoring.
Nitin Seth, CEO, Incedo Inc.
Real time analytics will be another disruptor in the coming
years, we haven’t seen much of it yet. This means using run
time data from dashboards to make decisions. One good use
case could be traffic monitoring for designing intelligent street
parking systems.
Mohit Kapoor, CEO, DBS Asia Hub 2 (DAH2)
With the explosion in the number of IoT devices, there is a
need to harness the power of sensor data to produce mean-
ingful real-time insights. In 2019, move from batch to stream
data processing to get real-time actionable insights is going to
be massive. More and more companies will look for real-time
data analysis for events that need to be detected right away
and responded to quickly.
Akhilesh Ayer, Head, Research & Analytics, WNS
6. Page 11 of 18
DATA SCIENCE & AI TRENDS IN INDIA 2019 Analytics India Magazine & AnalytixLabs
DATA ANALYSIS AND
INFORMED CUSTOMER
SPACE
TREND #3
2019 will be the year when organisations will put “consumer”
at the heart of digital transformation. Going forward,
consumers will become a part of larger strategy around
digital transformation with enterprises building new business
models to engage users better. The study forecasts a trend
where enterprises will put data back into the hands of
users – the real “data owners” to drive better user
experiences.
Page 10 of 18
The business environment for the insurance industry has
been challenging. Data will build the foundation for an
efficient customer engagement strategy of insurance firms.
The two major segments of analytics in the online space -
group dynamics and individual behaviour, will continue to
impact the process of detailed analysis, product develop-
ment, personalised insurance products, strategy and creat-
ing customer-connect campaigns accordingly.
Vijay Sinha, MD & CEO, COCO by DHFL General Insurance
In the past machine learning output, especially deep learning
output was more of a black box as far as providing an expla-
nation to the users of the product/system. However, more and
more machine learning systems are evolving to also provide a
tie in to user’s history or behaviour in addition to providing the
actual product recommendation. With this tie-in, the users get
a context of why something is being recommended to them,
and are not surprised by particular user experiences present-
ed to them by the consumer Internet company/interface. This
is very important to retain the user’s trust in the company.
Nitin Seth, CEO, Incedo Inc.
As opposed to today’s scenario, customer data ownership will
move from businesses and back towards customers. We fore-
see new services that will emerge and empower customers to
monetise their data and rent it to companies, with the capabil-
ity to withdraw its use when they decide to. Since data is the
fuel behind powering AI, customers will begin to realise the
power they have to drive their AI-based experiences with data
control and data management practices.
Suman Reddy Eadunuri, MD & Country Head, Pegasystems India
7. Page 13 of 18
DATA SCIENCE & AI TRENDS IN INDIA 2019 Analytics India Magazine & AnalytixLabs
MORE INVESTMENT IN
ENTERPRISE GRADE DATA
INFRASTRUCTURE,
PLATFORMS & CLOUD
TREND #4
With an increasing investment in cloud and quantum
computing, business leaders emphasise an increasing AI
interdependency on the cloud. In fact, we believe AI services
have fuelled the growth of public cloud providers, especially
AWS, Microsoft, Google and Alibaba. Going into 2019, we will
see an increased AI-cloud interdependency and as we
observed in 2018, leading cloud giants are pursuing an
AI-lock in approach by providing open source AI-related
services. The next year will see AI platforms dominating the
public cloud market and cloud providers, especially Google,
AWS and Microsoft will further expand their AI cloud
portfolio. A key reason why enterprises are leaning towards
public cloud is that it is impossible to build in-house, scalable
AI systems and the general sentiment is that AWS leads in
cloud and AI deployments.
Page 12 of 18
2019 will witness increased growth of Big data platforms into
medium & small size organisations. Big data prominence over
the last few years has led to the generation of enormous
amount of data. This data has colossal potential for analysing
existing and new consumer patterns, research, identifying
new trends etc. Converting data potential to reality, will need
exponentially improved speed of computing, hence the rise
of quantum computing. Companies have started investing in
this space, however results are yet to be seen.
Sudhanshu Singh, Senior Vice President, Analytics and Research, Genpact
Public clouds will increasingly be the host platform for AI, will
evolve to reduce complexity, and will have reduced reliance
on IT departments. Powerful GPU instances, flexible stor-
age options, and production-grade container technology are
just a few of the reasons that AI applications are increasingly
cloud-based. For engineers and scientists, cloud-based devel-
opment eases collaboration and enables on-demand use of
computing resources rather than buying expensive hardware
with limited lifespan. Cloud, hardware, and software vendors
are recognising, however, that this technology stack is often
difficult for engineers and scientists to setup and use in their
development workflow.
Paul Pilotte & Bruce Tannenbaum, Heads, Data Analytics & AI marketing, MathWorks
8. Page 15 of 18
DATA SCIENCE & AI TRENDS IN INDIA 2019 Analytics India Magazine & AnalytixLabs
ANALYTICS & AI IS
BECOMING INCREASINGLY
PERVASIVE &
TRANSPARENT
TREND #5
2018 was a year when analytics and AI showed serious
commercial applications and usability. We have observed a
shift how technology companies are using AI and analytics
to significantly improve their marketplace opportunities. As
we move forward in 2019, we see an emergence of cognitive
technologies, which go beyond automation to computer
vision, deep learning and language technologies which
include speech recognition, sentiment and text analytics,
natural language processing and generation. As we press
forward, we will see a rich ecosystem of platform companies
offering AI applications with high business value.
Page 14 of 18
AI is gaining a nearly ubiquitous presence, and machine learn-
ing and deep learning are getting more sophisticated. As we
enter 2019, we will see a rise of AI and cognitive platforms
aimed to help businesses mine and analyse massive amounts
of unstructured data (in form of text, images, and videos) to
derive actionable insights, a thing we’ve not been able to un-
lock in the past. With this greater depth, we could see more
commercial use cases of image and speech analytics in the
nearer term
Akhilesh Ayer, Head, Research & Analytics, WNS
As AI Augmented analytics (predictive & prescriptive) be-
comes more mainstream, there’s going to be a much wider
audience than the data scientists that it was previously limit-
ed to. How do you get every employee, who may have never
directly accessed data, or has years of “experience” under
their belt, begin to trust a prediction or recommendation that
analytics software gives them? AI will need to be transpar-
ent. Narrative storytelling & explanations on how the software
came to a prediction will replace static charts and numbers. AI
will need to be measurable . Automated feedback loops that
self-report differences between actuals and predicted metrics
and drive retraining of the models will be standard features in
any AI augmented analytics product. AI will need to be held
accountable. Concepts such as “protected variables” (zip
code, gender) to prevent bias entering models will be the top
5 requirements in any RFP. Analytics products without these
features will not be able to gain the trust of the end users and
thus ROI and adoption will suffer.
Ketan Karkhanis, GM of Einstein Analytics, Salesforce
Businesses are realising that analytics competency can not be
built within a silo in the organisation. Everyone has to talk the
language of data. Everyone has to be data savvy. 2019 will be
the year that everyone becomes ‘Data Smart’. Data literacy for
everyone in the organisation is going to be the mantra for 2019.
Gaurav Vohra, Co-founder & CEO, Jigsaw Academy
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DATA SCIENCE & AI TRENDS IN INDIA 2019 Analytics India Magazine & AnalytixLabs
COMPLEXITY
NECESSITATES
GREATER
COLLABORATION
TREND #6
The transforming nature of technology and the changing
dynamics will necessitate increased collaborations between
engineering teams and data scientists. As we inch towards
2019, business leaders lay down the friction points in prod-
uct lifecycle management, complexity of projects and lack of
expertise which will have to be resolved to simplify workflows
and improve results. What we observed in 2018 was a high
adoption of new tools which helped in setting up templates
and simplifying workflows and coding.
Page 16 of 18
The increased use of machine learning and deep learning in
complex systems will necessitate many more participants and
greater collaboration. Data collection, synthesis and labelling
are increasing the scope and complexity of deep learning proj-
ects, requiring larger and decentralised teams. Systems and
embedded engineers will require flexibility to deploy inference
models to data centers, cloud platforms, and embedded ar-
chitectures such as FPGAs, ASICs, and microcontrollers. These
teams will also need expertise in optimisation, power manage-
ment and component reuse. Engineers at the center of collab-
oration, developing deep learning models, will need tools to
experiment and manage the ever-growing volumes of training
data and lifecycle management of the inference models they
handoff to system engineers.
Paul Pilotte & Bruce Tannenbaum, Heads, Data Analytics & AI marketing, MathWorks
As data science teams grow, the need for collaboration and
version control will become paramount. General purpose engi-
neering tools like Git, JIRA, Trello etc. would become more and
more important for data scientists. Also, new tools specific to
data science collaboration would get adopted - some of them
are already popular - such as mode studio or dbt.
Ankur Sharma, VP, Analytics, Instamojo
10. Page 19 of 18
DATA SCIENCE & AI TRENDS IN INDIA 2019 Analytics India Magazine & AnalytixLabs
PERSONALISED
PRODUCTS
TREND #7
AI-driven personalisation has become the answer to
marketers’ woes and the growing use of analytics and AI is
helping businesses to deliver customised communications
and services. There is a growing usage of customer
segmentation and data to better understand user behaviour
and deliver a curated set of services in real-time to serve
consumers. Especially in the financial sector, there is a
growing uptick in the adoption of analytics to rethink
customer engagement and the segmentation approaches.
Page 18 of 18
Customers prefer personalised insurance covers instead
of the one-size-fits-all products. Flexible coverage options,
micro insurance and peer-to-peer insurance are becoming
viable options. Lifestyle apps are re-imagining the insur-
er-insured relationships. APIs are enabling the creation of
insights-driven offerings as they integrate data from mul-
tiple sources. Premiums will become highly personalised,
enabled by new sources of tech-enabled data such as
Internet of Things, mobile-enabled InsurTech apps and
wearables.
Anand Pejawar, President-Operations, IT & International Business, SBI Life Insurance
Some lenders are already personalising the targeting for
sourcing loan applications. However, we are yet to see person-
alised interest rates beyond broad segments. We are headed
towards a world of ultra-personalisation where a loan’s ap-
proval, the amount, and the interest rate would depend on the
applicant characteristics, the purpose of the loan, the tenure
requested, and the external environmental factors of that time.
o Pre-loaded/Dynamically-loaded EMI cards with person-
alised interest rates will become more ubiquitous.
o Personalised restructuring of loans/add-on loans will be-
come a norm.
o P2P lending and newer NBFCs in the form of start-ups and
big-tech will increasingly compete with traditional banks and
NBFCs, driving reduction in interest rates and increasing the
pace and personalisation.
Dr. Satya Gautam V, Head of Data Science and Artificial Intelligence, CreditVidya
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DATA SCIENCE & AI TRENDS IN INDIA 2019 Analytics India Magazine & AnalytixLabs
AI WILL MAKE
ANALYTICS MORE
HUMAN, NOT LESS
TREND #8
Amidst the ongoing debate about AI siphoning off jobs, there
is an increased emphasis on developing human-level AI.
Leading tech giants such as Microsoft and Google are setting
up ethical committees to monitor how technology impacts
human lives and eliminate bias in data. On the other
spectrum, we have seen an think tanks across the globe
which are working alongside Governments and enterprises
to help companies create new economic opportunities for
citizens and also set up new ways to benefit the society as a
whole.
Page 20 of 18
There is rightful concern about the rise of AI and its
potential to eliminate jobs. But in the near future, AI will
likely create more jobs than it eliminates. Gartner predicts
that in 2020, AI becomes a positive net job motivator,
creating 2.3 million jobs while only eliminating 1.8 million
jobs. In 2019 and beyond, AI designed around people will
have a higher impact than AI that takes people out of the
process. By 2020, augmented analytics will be a dominant
driver of new purchases of analytics and BI as well as data
science and machine learning platforms, and of embedded
analytics.
Arun Balasubramanian, Managing Director of Qlik in India
We’re getting past a point where basic intelligence is sufficient
for consumer-facing AI. Customers are realising the need for
brands to view them as individuals and not of the many cus-
tomer data records. In 2019, vendors are expected to focus
on increasingly humanising AI along with empathy. This could
mean picking up clues on customer motivation, their current
mood perceptions, or how they could act in certain situations.
Suman Reddy Eadunuri, MD & Country Head, Pegasystems India
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DATA SCIENCE & AI TRENDS IN INDIA 2019 Analytics India Magazine & AnalytixLabs
CENTRALISED DATA
WILL BE REPLACED BY
A SINGLE VIEW OF ALL
DATA
TREND #9
As data volumes grow high, organisations are moving towards
enterprise data management platforms that helps
businesses gain insights faster by breaking down the data
silos. To resolve integration challenges, we will see
enterprises bringing data from various sources into one,
central repository. As forecasted, a central data store will be
the key to fulfil analytical requirements of organisations.
Page 22 of 18
Two massive trends are changing the landscape. First, differ-
ent vendors are coming together to standardise data models.
Cloud-based data sources in particular will have more stan-
dard formats. Second, and more important, is the emergence
of enterprise data catalogs. These catalogs are accessible in
a hub, with one view of the entire federated data estate, and
deliver a shop-for-data marketplace experience. The more
you share, collaborate, and use the hub, the more valuable it
becomes to the business. Furthermore, it links your analytics
strategy with your enterprise data management strategy, as
the data becomes analysis-ready. In 2019, focus will shift from
bringing all data together into one place to getting a single
view of all data. By 2020, most D&A use cases will require
connecting to distributed data sources, leading enterprises to
double their investments in metadata management.
Arun Balasubramanian, Managing Director of Qlik in India
In 2019, we need to watch out for the convergence of various
data sets onto single AI platforms. Up until 2018, corporations
have been looking for AI solutions in silos - Chatbots, RPA
tools, etc. But we missed out the real fodder for AI, DATA! The
solutions for 2019 will unite structured and unstructured data
to automate entire processes. With hiring for instance, bots will
read the JD/KRA and the resumes, rank them in order of rel-
evance, reach out to candidates automatically, engage them
with chatbots for a first-level screening along with addressing
their queries. If the candidate and the corporate are interested,
the interview will be scheduled. Following that, if the candidate
gets selected the bots can further engage them as an assis-
tant. If all this data is on the same platform the results would
be phenomenal.
Animesh Samuel, Co-Founder & Chief Evangelist, Light Information Systems
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DATA SCIENCE & AI TRENDS IN INDIA 2019 Analytics India Magazine & AnalytixLabs
VOICE & AI
ASSISTANTS ARE
THE FUTURE
TREND #10
If 2018 belonged to AI, 2019 will be the year when
conversational AI and digital voice assistants will dominate
sectors such as finance and retail. In India, the year was
dominated with voice-based digital banking chatbots that
are able to provide accurate banking solutions. The trend has
been fuelled by tech giants releasing their APIs for
voice-based conversational AI, which helps businesses to
build intelligent services. Going forward, we will see more
industries diving into voice-enabled AI services.
Page 24 of 18
In 2018, nearly 20% of American adults, or 47.3 million people,
had access to a smart speaker; nearly anyone who owns a
smartphone can use a voice assistant like Siri, Cortana, Alexa,
or Google Assistant. As a group, we’re used to incorporating
these assistants in our daily lives; look for that trend to migrate
further into our working lives as 2019 progresses. How will we
use these virtual assistants? In much the same way as we do
outside of work: managing calendars and schedules, setting
appointments, finding information, and scheduling reminders.
Suhale Kapoor, EVP & Co-founder, Absolutdata
The usage of AI has picked up in the last couple of years.
Chatbots and voice enabled digital assistants are gaining in
popularity. This trend will continue and the focus will be on
making the responses more contextual and back and forth
conversation enabled.
Gunjan Gupta, Senior VP & Head of Analytics at Bajaj Allianz Life Insurance
Conversational platforms will evolve rapidly in 2019, catering to
larger set of Indian languages and will enable more complex
conversations with users by leveraging advanced deep learn-
ing techniques for NLP. This will also enable analytics applica-
tions to percolate deeper towards the base of the pyramid.
Ankur Narang, Head, Data Science & AI practice at Yatra Online