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.
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
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.
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 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
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.
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 & 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.
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 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
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.
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 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
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.
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 & 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.
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.
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.
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.
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.
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.
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).
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.
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.
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.
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.
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.
eTailing India Launches Big Data Report - 2015 eTailing India
The document discusses the current state of big data in India and its potential impact on eCommerce growth. It notes that big data involves collecting, processing, and applying insights from large, diverse data sets. While still nascent in India, big data is projected to significantly impact eCommerce by providing deeper customer insights and more personalized experiences. Major players are adopting strategies like Hadoop to analyze customer behavior and improve conversions. Widespread adoption is expected to drive industry competition and innovation.
India e retail (e-tailing) market, companies revenue analysis & forecast to 2015Renub Research
Renub Research (http://www.renub.com/report/india-e-retail-e-tailing-market-companies-revenue-analysis-forecast-to-2015-65) has announced the addition of the "India E-Retail (E-Tailing) Market, Companies Revenue Analysis & Forecast to 2015" report to its offering
The IT & ITeS sector in India has grown significantly over the past decade. Some key points:
- The size of the Indian IT-BPM industry was estimated at US$ 154 billion in FY17 and is projected to reach US$ 350 billion by 2025.
- India has a large talent pool that allows it to be one of the leading destinations for outsourcing. The sector employs around 3.9 million people.
- Exports are a major part of the industry, estimated at US$ 117 billion in FY17. The key export segments are IT services and BPM.
The IT & ITeS industry in India has seen strong growth and is poised for further expansion. Some of the key points from the document are:
- The Indian IT-BPM sector expanded at a CAGR of 10.71% from 2010-2018 to reach US$ 167 billion, and is estimated to reach US$ 350 billion by 2025.
- India has a 55% share of the global services sourcing market and 38% share of the overall BPM sourcing market, making it the leading destination for outsourcing.
- The sector contributes around 7.7% to India's GDP and employs nearly 4 million people. Exports are projected to grow 7-8%
India is the world's largest sourcing destination for the IT industry, accounting for 67% of the $124-130 billion global market. The industry employs 10 million people and has transformed the Indian economy. India has a competitive advantage due to its lower costs, which are 3-4 times cheaper than the US. The IT industry has driven growth in education. Key segments include IT services, BPM, software products, and hardware. The sector is expected to grow at a CAGR of 9.5% to $300 billion by 2020. India is also becoming a major player in areas like internet services, e-commerce, cloud computing, and startups. The government is undertaking initiatives like Digital India to further promote the
The IT & ITeS sector in India is growing rapidly and is expected to reach $350 billion by 2025. India has become a global leader in IT & ITes exports, accounting for approximately 55% of the global sourcing market. The country has a large talent pool of technical graduates and is a preferred destination for outsourcing. The IT & ITeS industry contributes significantly to India's GDP and is one of the largest job creators in the country.
- The IT-BPM sector in India has expanded at a CAGR of 11.14% from 2010-2017, reaching US$ 155 billion in FY2017. It is estimated to reach US$ 350 billion by 2025.
- India has approximately 55% of the global sourcing market share and 38% of the overall BPM sourcing market, making it a leading destination for outsourcing.
- The IT sector contributes around 7.7% to India's GDP and employs nearly 3.9 million people. It is one of the largest sectors for FDI and fuels growth of startups in India.
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.
Artificial intelligence (AI), also known as machine intelligence, is an aspect of computer science that deals will the designing of intelligent mechanical systems that work and react like humans. AI incorporates information from everything ranging from Google search algorithms to machinal processes. From SIRI to self-driving cars, everything is the outcome of artificial intelligence, which is rapidly progressing and taking over our human lives.
Evaluating the opportunity for embedded ai in data productivity toolsNeil Raden
The document discusses embedding AI in data productivity tools. It notes that while AI applications get attention, opportunities to embed AI in tools to manage and interpret data may be overlooked. This could help address challenges in preparing large amounts of clean, AI-ready data at scale. The document summarizes experts' views, many of which support embedding AI in data pipelines and tools to improve data quality, integration and analytics. It provides examples of companies like Informatica, UnifiSoftware, Trifacta and Tamr that are infusing AI into their data integration and catalog offerings. The document argues that opportunities for AI to improve data management could boost overall AI success rates.
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.
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.
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.
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.
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).
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.
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.
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.
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.
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.
eTailing India Launches Big Data Report - 2015 eTailing India
The document discusses the current state of big data in India and its potential impact on eCommerce growth. It notes that big data involves collecting, processing, and applying insights from large, diverse data sets. While still nascent in India, big data is projected to significantly impact eCommerce by providing deeper customer insights and more personalized experiences. Major players are adopting strategies like Hadoop to analyze customer behavior and improve conversions. Widespread adoption is expected to drive industry competition and innovation.
India e retail (e-tailing) market, companies revenue analysis & forecast to 2015Renub Research
Renub Research (http://www.renub.com/report/india-e-retail-e-tailing-market-companies-revenue-analysis-forecast-to-2015-65) has announced the addition of the "India E-Retail (E-Tailing) Market, Companies Revenue Analysis & Forecast to 2015" report to its offering
The IT & ITeS sector in India has grown significantly over the past decade. Some key points:
- The size of the Indian IT-BPM industry was estimated at US$ 154 billion in FY17 and is projected to reach US$ 350 billion by 2025.
- India has a large talent pool that allows it to be one of the leading destinations for outsourcing. The sector employs around 3.9 million people.
- Exports are a major part of the industry, estimated at US$ 117 billion in FY17. The key export segments are IT services and BPM.
The IT & ITeS industry in India has seen strong growth and is poised for further expansion. Some of the key points from the document are:
- The Indian IT-BPM sector expanded at a CAGR of 10.71% from 2010-2018 to reach US$ 167 billion, and is estimated to reach US$ 350 billion by 2025.
- India has a 55% share of the global services sourcing market and 38% share of the overall BPM sourcing market, making it the leading destination for outsourcing.
- The sector contributes around 7.7% to India's GDP and employs nearly 4 million people. Exports are projected to grow 7-8%
India is the world's largest sourcing destination for the IT industry, accounting for 67% of the $124-130 billion global market. The industry employs 10 million people and has transformed the Indian economy. India has a competitive advantage due to its lower costs, which are 3-4 times cheaper than the US. The IT industry has driven growth in education. Key segments include IT services, BPM, software products, and hardware. The sector is expected to grow at a CAGR of 9.5% to $300 billion by 2020. India is also becoming a major player in areas like internet services, e-commerce, cloud computing, and startups. The government is undertaking initiatives like Digital India to further promote the
The IT & ITeS sector in India is growing rapidly and is expected to reach $350 billion by 2025. India has become a global leader in IT & ITes exports, accounting for approximately 55% of the global sourcing market. The country has a large talent pool of technical graduates and is a preferred destination for outsourcing. The IT & ITeS industry contributes significantly to India's GDP and is one of the largest job creators in the country.
- The IT-BPM sector in India has expanded at a CAGR of 11.14% from 2010-2017, reaching US$ 155 billion in FY2017. It is estimated to reach US$ 350 billion by 2025.
- India has approximately 55% of the global sourcing market share and 38% of the overall BPM sourcing market, making it a leading destination for outsourcing.
- The IT sector contributes around 7.7% to India's GDP and employs nearly 3.9 million people. It is one of the largest sectors for FDI and fuels growth of startups in India.
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.
Artificial intelligence (AI), also known as machine intelligence, is an aspect of computer science that deals will the designing of intelligent mechanical systems that work and react like humans. AI incorporates information from everything ranging from Google search algorithms to machinal processes. From SIRI to self-driving cars, everything is the outcome of artificial intelligence, which is rapidly progressing and taking over our human lives.
Evaluating the opportunity for embedded ai in data productivity toolsNeil Raden
The document discusses embedding AI in data productivity tools. It notes that while AI applications get attention, opportunities to embed AI in tools to manage and interpret data may be overlooked. This could help address challenges in preparing large amounts of clean, AI-ready data at scale. The document summarizes experts' views, many of which support embedding AI in data pipelines and tools to improve data quality, integration and analytics. It provides examples of companies like Informatica, UnifiSoftware, Trifacta and Tamr that are infusing AI into their data integration and catalog offerings. The document argues that opportunities for AI to improve data management could boost overall AI success rates.
Artificial intelligence Trends in MarketingBasil Boluk
This document provides an overview and summary of key insights about artificial intelligence (AI) adoption from various research reports:
- Investment in AI remains high but large-scale adoption is happening slowly, as many companies are still in the planning phases.
- Research forecasts strong growth in the global AI market size over the next few years, reaching $60 billion by 2025, though most investment still comes from large tech companies.
- Adoption of AI technologies varies by industry, with around 20% of companies surveyed having adopted at least one AI technology at scale so far, while others are still experimenting or planning adoption.
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).
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 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.
Steve Yates - How AI Will Improve The Service Desk Support ExperienceitSMF UK
This document discusses how artificial intelligence will impact IT service management. It begins by defining artificial intelligence and its growing role in organizations. It then outlines several ways AI can enhance IT service management, including through natural language processing, machine learning, and virtual agents. The document also examines inhibitors to AI adoption, such as rigid frameworks and shadow IT systems. It proposes enablers like agile frameworks, knowledge management systems, and REST APIs. Finally, it recommends developing an AI strategy, gaining management support, and identifying practical use cases to prepare organizations for AI's arrival in IT service management.
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.
VMblog - 2018 Artificial Intelligence and Machine Learning Predictions from 3...vmblog
Find out what's going on in the world of #artificialintelligence and #machinelearning in 2018. Read #predictions more than 30 of the industry's leading experts to learn more about #AI Hear from industry thought leaders from companies like Chaos Sumo, Couchbase, Druva, Equinix, Hitachi Vantara, Ixia, Pivot3, SAP, SIOS Technologies, SolarWinds, Splunk, Vonage and more. Make sure to also read the more than 280+ other expert predictions from technologies across #virtualization, #cloudcomputing, #hyperconverged, #IoT, #security, etc. here: http://bit.ly/2DQi2OT at VMblog.com.
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
Artificial Intelligence can Offer People Great Relief from Performing Mundane...JPLoft Solutions
AI refers to the recreation of human-like intelligence in machines created to function like humans and mimic their actions. Artificial Intelligence solutions can be applied to any device that exhibits traits similar to the human brain, such as the capacity to learn and analytical thinking.
'Converge' Report - Shaping Artificial Intelligence for Southeast AsiaShu Jun Lim
This document provides an overview of artificial intelligence and how startups in Southeast Asia are applying AI. It discusses how startups are collecting local training data to build AI solutions that understand Southeast Asian contexts. It also explores how startups are developing natural language processing for local languages and building chatbots on popular regional messaging platforms. Additionally, it examines how other startups are using AI and automation to digitize field operations and business processes.
This document provides an overview of artificial intelligence (AI) and its applications in enterprises. It examines real use cases for AI, challenges, and opportunities. Key areas where AI can provide value for enterprises are enterprise intelligence, computer vision, and conversational AI. Enterprise intelligence involves analyzing multiple internal and external datasets to extract insights, predictions, and recommendations. Computer vision allows machines to "see" and interpret images. Conversational AI allows machines to communicate using natural language. The document also provides case studies of how companies like Stripe and DBS are using AI.
10 Enterprise Analytics Trends to Watch in 2020MicroStrategy
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Data science ai_trends_india_2020_analytics_india_magazine
1. DATA SCIENCE & AI TRENDS
IN INDIA TO WATCH OUT FOR IN 2020
By Analytics India Magazine & AnalytixLabs
2. The year 2019 was great in terms of
analytics adoption as the domestic
analytics industry witnessed a
significant growth this year. There
has been a visible shift towards
intelligent automation, AI and
machine learning that is changing
the face of all major sectors — right
from new policies by the Indian
Government, to micro-adoption by
startups and SMEs.
While customer acquisition,
investment in enterprise-grade data
infrastructure, personalised products
were some of the trends from 2018,
this year our industry interaction
suggested that democratisation of AI,
AI push into hardware and software
are much talked about.
Our annual data science and AI
trends report for the upcoming
year 2020 aims at exploring the key
strategic shifts that enterprises are
most likely to make in the coming
years to stay relevant and intelligent
in the coming year. This year we
collaborated with AnalytixLabs, a
leading Applied AI & Data Science
training institute to bring out the key
trends.
Some of the key areas that have
witnessed remarkable developments
are deep learning, RPA and neural
networks which, in turn, is affecting
all the major industries such as
marketing, sales, banking and
finance, and others. Some of the
most popular trends, according
to our respondents, were the rise
in robotic process automation or
hyper-automation that has begun to
use machine learning tools to work
effectively.
The rise in explainable AI is
another exciting development that
the industry is likely to see in the
popularity charts in the coming year,
along with the importance of saving
data lakes and the rise of hyperscale
data centres, among others. Some of
the other trends like advancements
in conversational AI and augmented
analytics, are here to stay.
Semantic AI, enterprise knowledge
graphs, hybrid clouds, self-service
analytics, real-time analytics and
multilingual text processing were
some of the other popular trends
mentioned by the respondents which
are likely to be on the rise in 2020.
INTRODUCTION
3. Innovations in Data
Storage Technologies
Trend #6
Data Privacy
Getting Mainstream
Trend #7
Increasing Awareness
on Ethical use of AI
Trend #8
Quantum Computing
& Data Science
Trend #9
Saving the
Data Lakes
Trend #10
DATA SCIENCE & AI TRENDS
IN INDIA TO WATCH OUT FOR
IN 2020
16
18
20
22
24
The rise of Hyper
Automation
Trend #1
Humanized AI
Products
Trend #2
Advancements in NLP
& Conversational AI
Trend #3
Explainable AI
Trend #4
Augmented
Analytics & AI
Trend #5
06
08
10
12
14
4. 6 Data Science Trends To Watch Out For In 2020 By Analytics India Magazine & AnalytixLabs
01.
THE RISE
OF
HYPER
AUTOMATION
TREND#
Automation is going to increase in
multitudes. Over 30% of data-based
tasks will become automated. This will
result in higher rates of productivity and
analysts will have broader access to
data. Automation will additionally assist
decision makers to take better decisions
for their customers with the help of correct
analytics.
2019 has seen rising adoption of Robotic
Process Automation (RPA) across
various industries. Intelligence infused
in automation through data science and
analytics is leading to an era of hyper
automation that enables optimization and
modernisation. It is cost effective too but
may have risks. 2020 will see enterprises
evaluating risks and control mechanisms
associated with hyper automation.
Hyper automation uses a combination
of various ML, automation tools and
packaged software to work simultaneously
and in perfect sync. These include RPA,
intelligent business management software
and AI, to take the automation of human
roles and organizational processes to the
next level. Hyper automation requires a
mix of devices to support this process
to recreate exactly where the human
employee is involved with a project, after
which it can carry out the decision-making
process independently.
Anjani Kommisetti
Country Manager- India & SAARC,
Raritan
Suhale Kapoor
Executive VP & Co-founder,
Absolutdata
Vishal Shah
Head of Data Sciences, Digit Insurance
5. 8 Data Science Trends To Watch Out For In 2020 By Analytics India Magazine & AnalytixLabs
02.
HUMANIZED
ARTIFICIAL
INTELLIGENCE
PRODUCTS
TREND# We will see AI getting deeper into Homes and lifestyle
and Human Interaction would begin to increase in
the coming year. This means a reliable AI Engine.
We have already seen some voice based technology
making a comfortable place in homes. Now, with
Jio Fiber coming home and Jio disrupting telecom
sector it will be interesting to see how the data can be
leveraged to improve/ develop devices that are more
human than products.
Rise of AI has been sensationalised in the media
as a battle between man and machine and there
are numerous numbers flying around on impact on
job loss for millions of workers globally. However,
only less than 10% of roles will really get automated
in the near future. Most of the impact is rather on
non-value-added tasks which will free-up time for
humans to invest in more meaningful activities. We
are seeing more and more companies releasing this
now and investing in reskilling workforce to co-exist
with and take advantage of technology.
The effects of data analysis on vast amounts of data
have now reached a tipping point, bringing us landmark
achievements. We all know Shazam, the famous
musical service where you can record sound and get
info about the identified song. More recently, this has
been expanded to more use cases, such as clothes
where you shop simply by analyzing a photo, and
identifying plants or animals. In 2020, we’ll see more
use-cases for “shazaming” data in the enterprise, e.g.
pointing to a data-source and getting telemetry such
as where it comes from, who is using it, what the data
quality is, and how much of the data has changed
today. Algorithms will help analytic systems fingerprint
data, find anomalies and insights, and suggest new
data that should be analyzed with it. This will make data
and analytics leaner and enable us to consume the right
data at the right time.
Tanuja Pradhan
Head- Special Projects, Consumer Insights
& New Commerce Analytics, Jio
Abhinav Singhal
Director, tk Innovations, Thyssenkrupp
Dan Sommer
Market Intelligence Lead, Qlik
6. 10 Data Science Trends To Watch Out For In 2020
03.
ADVANCEMENTS
IN NATURAL
LANGUAGE
PROCESSING &
CONVERSATION-
AL AI
TREND#
The advent of transformers for solving sequence-
to-sequence tasks has revamped natural
language processing and understanding
use-cases, dramatically. For instance, BERT
framework built using transformers is widely
being tapped onto, for development of natural
language applications like Bolo, demonstrating
the applicability of AI for education. AI in
education is here to stay.
Data Scientists form backbone of organisation’s
success and employers have set the bar high
while hiring these unicorns. With voice search
and voice assistants becoming the next
paradigm shift in AI, organisations are now
possessing a massive amount of audio data,
which means those with NLP skills have an edge
over others. While this has always been a part of
data science, it has gained more steam than ever
due to the advancements in voice searches and
text analysis for finding relevant information from
documents.
NLP is becoming a necessary element for
companies looking to improve their data analytics
capabilities by enhancing visualized dashboards and
reports within their BI systems. In several cases, it
is facilitating interactions via Q&A/chat mediums to
get real-time answers and useful visualizations in
response to data-specific questions. It is predicted
that natural-language generation and artificial
intelligence will be standard features of 90% of
advanced business intelligence platforms including
those which are backed by cloud platforms. Its
increasing use across the market indicates that, by
bringing in improved efficiency and insights, NLP will
be instrumental in optimizing data exploration in the
years to come.
Sourabh Tiwari
CIO, Meril Group of Companies
Suhale Kapoor
Executive VP & Co-founder,
Absolutdata
Deepika Sandeep
Practice Head- AI & ML, Bharat Light
& Power
2019 was undeniably the year of Personal assistants.
Though Google assistant and Siri have seen many
winters since their launch but 2019 saw Amazon
Alexa and Google home making way into our
personal space and in some cases have already
become an integral part of some households.
Ongoing research in the area of computational
linguistics will definitely changes the way we
communicate with machines in the coming years.
Ritesh Mohan Srivastava
Advanced Analytics Leader,
Novartis
7. 12 Data Science Trends To Watch Out For In 2020 By Analytics India Magazine & AnalytixLabs
04.
EXPLAINABLE
ARTIFICIAL
INTELLIGENCE
(XAI)
TREND# Decisions and predictions made by artificial
intelligence are becoming complex and critical
especially in areas of fraud detection, preventive
medical science and national security. Trusting a
neural network has become increasingly difficult
owing to the complexity of work. Data scientists train
and test a model for accuracy and positive predictive
values. However, they hesitate to use it in areas
of fraud detection, security and medicine. Models
inherently lack transparency and explanation on what
is made or why something can go wrong. Artificial
intelligence can no longer be a black box and data
scientists need to understand the impact, application
and decision the algorithm is making. XAI will be
an exciting new trend in 2020. Its model agnostic
nature allows it to be applied to answer some critical
questions in data science.
Another area that is taking shape in the last few
years is Explainable AI. While the data science
community is divided on how much explainability
should be built into ML models, top level decision
makers are extremely keen to get as much of an
insight as possible into the so-called AI mind. As the
business need for explainability increases people
will build methods to peep into the AI models to
get a better sense of their decision making abilities.
Companies will also consider surfacing some such
explanations to their users in an effort to build more
user confidence and trust in the company’s models.
Look out for this area in the next 5 years.
Pramod Singh
Chief Analytics Officer and
VP, Envestnet|Yodlee
Bhavik Gandhi
Sr Director - Data Science
and Analytics, Shaadi.com
8. 14 Data Science Trends To Watch Out For In 2020
05.
AUGMENTED
ANALYTICS
& ARTIFICIAL
INTELLIGENCE
TREND#
With the proliferation of AI-based solutions
comes the need to show how they deliver value.
This is giving rise to the evolution of explainable
“white box” algorithms and the development
of frameworks that allow for the encoding of
domain expertise and a strong emphasis on data
storytelling.
Augmented Analytics is the merger of statistical
and linguistic technology. It is connected to
the ability to work with Big Data and transform
them into smaller usable subsets that are
more informative. It makes use of Machine
Learning and Natural Language Processing
algorithms to extract insights. Data Scientists
spend 80% of their time in Data Collection and
Data Preparation. The final goal of augmented
analytics is to completely replace this standard
process with AI, taking care of the entire analysis
process from data collection to business
recommendations to decision makers.
Augmented Assistance to exploit human-algorithm
synergy will be a big trend in the coming years.
While the decision support systems have
been around for a long time, we believe that
advancements in Conversation systems will propel
the digital workers in a totally different realm. We
witnessed early progress in ChatOps in 2019 but
2020 should see development of similar technology
for diverse personas like Database Admin, Data
Steward and Governance Officers.
Kavita D. Chiplunkar
Head- Data Science,
Infinite-Sum Modelling Inc.
Sameep Mehta
Senior Manager, Data and AI
Research, IBM Research India
Zabi Ulla S
Sr. Director Advanced Analytics,
Course5 Intelligence
The increasing amount of big data that enterprises
have to deal with today – from collection to analysis
to interpretation – makes it nearly impossible
to cover every conceivable permutation and
combination manually. Augmented analytics is
stepping in to ensure crucial insights aren’t missed,
while also unearthing hidden patterns and removing
human bias. Its widespread implementation will
allow valuable data to be more widely accessible
not just for data and analytics experts, but for key
decision-makers across business functions.
Suhale Kapoor
Executive Vice President and
Co-founder, Absolutdata
9. 16 Data Science Trends To Watch Out For In 2020
06.
INNOVATIONS
IN DATA
STORAGE
TECHNOLOGIES
TREND#
Data explosion increases every year and 2019 was
no different. But to manage this ever-increasing data
SDS saw an exponential rise, not just to attain agility
but also make data more secure, that again has been
a boon to SMEs. 2020 will see SME/ SMB sectors
rising in the wave of intelligent transformation to make
intelligent choices and reducing the total cost of
ownership.
Hyperscale data centre construction has dominated
the data centre industry in 2019 and provided
enterprises with an opportunity to adopt Data Centre
Infrastructure Management (DCIM) solutions, befitting
their modern business and environment. With the
help of DCIM solutions, 2020 will see enterprises
designing smart data centres enabling operators
to integrate proactive sustainability and efficiency
measures.
There is a rise of new innovations in data collection
and storage technologies that will directly impact how
we do store, process and do data science. These
graphical database systems will greatly expedite
data science model building, scale analytics at rapid
speed and provides greater flexibility, allowing users
to insert new data into a graph without changing the
structure of the overall functionality of a graph.
Vivek Sharma
MD – India, Lenovo DCG
Anjani Kommisetti
Country Manager – India & SAARC,
Raritan
Zabi Ulla S
Sr. Director Advanced Analytics,
Course5 Intelligence
Data Science and Data Engineering are working
more closely than ever. And T-shaped data scientists
are very popular! With an increasing need for data
scientists to deploy their algorithms and models,
they need to work closely with engineering teams to
ensure the right computation power, storage, RAM,
streaming abilities etc are made available. A lot of
organisations have created multi-disciplinary teams to
achieve this objective.
Abhishek Kothari
Co-Founder, FlexiLoans.com
10. 18 Data Science Trends To Watch Out For In 2020 By Analytics India Magazine & AnalytixLabs
07.
DATA
PRIVACY
GETTING
MAINSTREAM
TREND#
As governments start to dive deeper into
data & technology, more & more sensitive
information will be unearthed. More
importantly, we see an increasing trend in
collaboration between governments and
private sector, for design & delivery of public
goods. To make the most of this phase of
innovation, it will be critical for governments
at all levels to not only articulate how it
sees the contours of data sharing and
usage (in India, we currently have a draft
Personal Data Protection Bill) but also how
these nitty-gritties are embedded in the
day to day working of the governments and
decision makers.
Consumers have finally matured to the
need for robust data privacy as well as
data protection in the products they use,
and app developers cannot ignore that
expectation anymore. In 2020, we can
expect much more investment towards
this facet of the business as well as find
entirely new companies coming up to
cater to this requirement alone.
Data security will be the biggest
challenging trend. Most AI-driven
businesses are in nascent stages and have
grown too fast. Businesses will have to
relook at data security and build safer and
robust infrastructure. Data and Analytics
industry will face this biggest challenge
in 2020 due to lack of orientation of data
security in India. Focus has been on growth
and 2020 will get the focus on sustaining
this growth by securing data and building
sustainability.
Shantanu Bhattacharyya
Data Scientist, Locus
Dr Mohit Batra
Founder and CEO,
MarketMojo.com
Poornima Dore
Head, Data Driven
Governance at Tata Trusts
11. 20 Data Science Trends To Watch Out For In 2020 By Analytics India Magazine & AnalytixLabs
08.
INCREASING
AWARENESS
ON ETHICAL
USE OF
ARTIFICIAL
INTELLIGENCE
TREND# The analytics community is starting to awaken to the
profound ways our algorithms will impact society,
and are now attempting to develop guidelines on
ethics for our increasingly automated world. The EU
has developed principles for ethical AI, as has the
IEEE, Google, Microsoft, and other countries and
corporations including OECD. We don’t have the
perfect answers yet for concerns around privacy,
biases or its criminal misuse, but it’s good to see at
least an attempt in the right direction.
Artificial Intelligence comes with great challenges,
such as AI bias, accelerated hacking, and AI
terrorism. The success of using AI for good depends
upon trust, and that trust can only be built over time
with the utmost adherence to ethical principles and
practices. As we plough ahead into the 2020s, the
only way we can realistically see AI and automation
take the world of business by storm is if it is smartly
regulated. This begins with incentivising further
advancements and innovation to the tech, which
means regulating applications rather than the tech
itself. Whilst there is a great deal of unwarranted fear
around AI and the potential consequences it may
have, we should be optimistic about a future where AI
is ethical and useful.
Abhinav Singhal
Director, tk Innovations,
Thyssenkrupp
Asheesh Mehra
Co-founder and Group CEO of
AntWorks.
12. 22 Data Science Trends To Watch Out For In 2020 By Analytics India Magazine & AnalytixLabs
09.
QUANTUM
COMPUTING
& DATA
SCIENCE
TREND#
Quantum computers perform calculations
based on the probability of the state of an
object before it is measured- rather than
just microseconds- which means that they
have the potential to process more data
exponentially compared to conventional
computers. In a quantum system, the
qubits or quantum bits store much more
data and can run complex computations
within seconds. Quantum computing in
data science can allow companies to
test and refine enormous data for various
business use cases. Quantum computers
can quickly detect, analyze, integrate and
diagnose patterns from large scattered
datasets.
While still in the very nascent stages
quantum computing holds a promise that
no one can ignore. The ability to do 10000
years of computations in 200 seconds
coupled with the exabytes of data that we
generate daily can allow data scientists
to train massive super complex models
that can accomplish complex tasks with
human or superhuman levels of accuracy.
8-10 years down the line we would be
seeing models being trained on quantum
computers and for that we need AI that
works on quantum computers and this area
will grow a lot in the coming years.
Vivek Zakarde
Segment Head- Technology
(Head BI & DWH), Reliance
General Insurance Company
Limited
Bhavik Gandhi
Sr Director - Data Science and
Analytics, Shaadi.com
13. 24 Data Science Trends To Watch Out For In 2020 By Analytics India Magazine & AnalytixLabs
10.
SAVING
THE
DATA
LAKES
TREND# While Data Lakes may have solved the problem
of data centralization, they in turn become an
unmanaged dump yard of data. As the veracity of
data becomes a suspect, analytics development
has slowed down. Pseudo-anonymization to check
the quality of incoming data, strong governance
and lineage processes to ensure integrity and a
marketplace approach to consumption would emerge
as the next frontier for enterprises in their journey of
being data-driven. Further, smart data discovery will
enable uncovering of patterns and trends to maximize
organizations’ ROI by breaking information silos.
Data Lake will become more mainstream as the
technology starts maturing and getting consolidated.
External data will become as one of the main data
sources and Data Lake will be the de-facto choice in
forming a base for a single customer view. It will help
in improving the customer journey thereby increasing
efficiency.
Saurav Chakravorty
Principal Data Scientist,
Brillio
Vishal Shah
Head of Data Sciences, Digit
Insurance
14. Automation is the future
of analytics industry and
data science experts are
confident that most of
the data-based tasks are
going to be automated
in the coming future.
This will not only ease
the mundane tasks
but will also help in
the decision-making
processes in the long
run. Another important
facet that AI industry
is going to witness is
the involvement of AI
in human lifestyles and
interactions. While there
has been an increase
in the use of smart
assistants like Alexa
and Google Assistants
in recent times, the year
2020 will see an increased
human-machine
interaction.
There is going to be a
definite shift in voice
search, voice assistants
and computational
linguistics to enable better
communication with
machines.
Another interesting
innovation that the
industry is gearing
towards is the data
collection and storage
technology that is going
to directly impact how
the data is stored and
processed. While the
domain of data storage
has advanced, we will
also see an increased
maturity in data privacy
and data protection.
Having said that, the
industry is still facing
challenges such as
biased AI, accelerated
hacking, AI terrorism
and more, which the
industry is hopeful will be
addressed soon.
CONCLUSION
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