GroupM published a new study, The Next 10: Artificial Intelligence. The study examines how the media landscape and consumer behaviour will shift over the coming decade, in large part due to AI-enabled advertising
The document discusses emerging technologies and how they can impact businesses. It presents the Dentsu Aegis Tech Matrix, which evaluates 11 key technologies based on their potential business impact and riskiness. Technologies like 360 video, augmented reality, voice AI and wearables are positioned as having potential for businesses to act on now, while artificial intelligence, facial recognition and self-driving cars are viewed as longer term "future bets" that require more groundwork. The document provides perspectives on each technology and how businesses can explore opportunities while also managing risks.
The document provides predictions for technology trends in 2015 from an independent research report. It predicts that:
1) End-to-end service disruption will expand beyond transportation and lodging into new industries like retail, real estate, and healthcare.
2) The Internet of Things will evolve from "smart" devices that primarily track user data to more "intelligent" devices with context-aware applications that learn from data and provide recommendations with less user input.
3) Significant changes will occur in the payments industry as mobile technologies and peer-to-peer payment solutions gain traction.
1. The Internet of Things (IoT) involves connecting physical objects through sensors and networking capabilities. An estimated 6.4 billion IoT devices were in use worldwide in 2016, with that number expected to grow to over 20 billion by 2020.
2. Asian markets are important for IoT adoption, with close to one-third of all connected devices projected to be located in the region by 2020. Chinese manufacturers are developing consumer IoT products for homes, fitness, and more. Data from these devices can provide insights for improved products and services.
3. IoT is enabling new business models, like pay-as-you-drive insurance where activity data from smartwatches can lower premiums. Connected
6 Predictions for 2017:
1. 'Open' data: Data exchanges improving planning
2. Relevancy, from the few to the many: The rise of scalable content
3. Blending real and virtual experiences: Technology is changing your media plan
4. Contextual content clicks in: Are traditional demographics dead?
5. Advertising with utility: Not just advertising, advertising for good
6. Programmatic is here
LUMA Digital Brief 016 The Evolution of Digital MeasurementLUMA Partners
The document discusses the evolution of digital measurement from early web analytics and audience measurement tools to address challenges introduced by mobile and programmatic advertising. It describes how measurement evolved to address mobile apps, attribution, fraud, viewability and the rise of walled gardens like Facebook and Google. Major themes are the shift to people-based tracking enabled by mobile and the ongoing challenges of measurement as digital continues to change rapidly.
LUMA Digital Brief 018 - Market Report Q4 2017LUMA Partners
This document provides an overview and analysis of the digital media M&A market in Q4 2017 according to LUMA Partners. Some key points:
- Ad tech and martech M&A activity rose in 2017 but there were no billion dollar acquisitions after six such deals in 2016. Private equity became more active in ad tech.
- Notable 2017 deals included DoubleVerify, Fluent, Sizmek, and SpotX in ad tech and Bazaarvoice, Experian's marketing business, Gigya, Jive Software, Moat, and Radial in martech.
- Digital content deals in 2017 included 21st Century Fox, Scripps Networks, Musical.ly, O
OOH is on the cusp of a new evolution: how it’s
planned, bought and it’s interaction with people.
Mixing all of these ingredients together moves OOH
into an unseen and largely untested realm – meaning
many of our pre-existing rules, recommendations and
benchmarks will be re-examined. Read about our predictions for 2017.
The Robos Are Coming - How AI will revolutionize Insurance 0117Graham Clark
1) Artificial intelligence and intelligent systems will transform many industries including banking and insurance by automating large portions of jobs currently performed by humans.
2) New intelligent concepts like digital assistants, semantic analysis, computer vision, augmented reality, and robotic process automation will impact customer experiences, product offerings, and business functions within insurance.
3) Insurance companies will be able to offer more personalized products and services using intelligent systems, and may require policyholders to use internet-connected devices or home automation to reduce risks and provide more customized coverage.
The document discusses emerging technologies and how they can impact businesses. It presents the Dentsu Aegis Tech Matrix, which evaluates 11 key technologies based on their potential business impact and riskiness. Technologies like 360 video, augmented reality, voice AI and wearables are positioned as having potential for businesses to act on now, while artificial intelligence, facial recognition and self-driving cars are viewed as longer term "future bets" that require more groundwork. The document provides perspectives on each technology and how businesses can explore opportunities while also managing risks.
The document provides predictions for technology trends in 2015 from an independent research report. It predicts that:
1) End-to-end service disruption will expand beyond transportation and lodging into new industries like retail, real estate, and healthcare.
2) The Internet of Things will evolve from "smart" devices that primarily track user data to more "intelligent" devices with context-aware applications that learn from data and provide recommendations with less user input.
3) Significant changes will occur in the payments industry as mobile technologies and peer-to-peer payment solutions gain traction.
1. The Internet of Things (IoT) involves connecting physical objects through sensors and networking capabilities. An estimated 6.4 billion IoT devices were in use worldwide in 2016, with that number expected to grow to over 20 billion by 2020.
2. Asian markets are important for IoT adoption, with close to one-third of all connected devices projected to be located in the region by 2020. Chinese manufacturers are developing consumer IoT products for homes, fitness, and more. Data from these devices can provide insights for improved products and services.
3. IoT is enabling new business models, like pay-as-you-drive insurance where activity data from smartwatches can lower premiums. Connected
6 Predictions for 2017:
1. 'Open' data: Data exchanges improving planning
2. Relevancy, from the few to the many: The rise of scalable content
3. Blending real and virtual experiences: Technology is changing your media plan
4. Contextual content clicks in: Are traditional demographics dead?
5. Advertising with utility: Not just advertising, advertising for good
6. Programmatic is here
LUMA Digital Brief 016 The Evolution of Digital MeasurementLUMA Partners
The document discusses the evolution of digital measurement from early web analytics and audience measurement tools to address challenges introduced by mobile and programmatic advertising. It describes how measurement evolved to address mobile apps, attribution, fraud, viewability and the rise of walled gardens like Facebook and Google. Major themes are the shift to people-based tracking enabled by mobile and the ongoing challenges of measurement as digital continues to change rapidly.
LUMA Digital Brief 018 - Market Report Q4 2017LUMA Partners
This document provides an overview and analysis of the digital media M&A market in Q4 2017 according to LUMA Partners. Some key points:
- Ad tech and martech M&A activity rose in 2017 but there were no billion dollar acquisitions after six such deals in 2016. Private equity became more active in ad tech.
- Notable 2017 deals included DoubleVerify, Fluent, Sizmek, and SpotX in ad tech and Bazaarvoice, Experian's marketing business, Gigya, Jive Software, Moat, and Radial in martech.
- Digital content deals in 2017 included 21st Century Fox, Scripps Networks, Musical.ly, O
OOH is on the cusp of a new evolution: how it’s
planned, bought and it’s interaction with people.
Mixing all of these ingredients together moves OOH
into an unseen and largely untested realm – meaning
many of our pre-existing rules, recommendations and
benchmarks will be re-examined. Read about our predictions for 2017.
The Robos Are Coming - How AI will revolutionize Insurance 0117Graham Clark
1) Artificial intelligence and intelligent systems will transform many industries including banking and insurance by automating large portions of jobs currently performed by humans.
2) New intelligent concepts like digital assistants, semantic analysis, computer vision, augmented reality, and robotic process automation will impact customer experiences, product offerings, and business functions within insurance.
3) Insurance companies will be able to offer more personalized products and services using intelligent systems, and may require policyholders to use internet-connected devices or home automation to reduce risks and provide more customized coverage.
LUMA's State of Digital Marketing at DMS West 17LUMA Partners
The document summarizes the state of the digital marketing industry. It notes that ad tech and martech companies have seen strong stock performance recently, though many public companies in the space have faced challenges or been acquired. The digital ad market continues to grow rapidly, with Google and Facebook capturing the vast majority of new spending. Amazon is also emerging as a major competitor and disrupting both digital advertising and retail. The document advocates for further consolidation in the ad tech sector to improve market conditions.
Atkearney soe digital transformation report presentarimayawulantara
This document discusses Indonesia's digital transformation opportunities and challenges. It recommends that Indonesia establish a national digital vision supported by focus on digital infrastructure, consumer demand stimulation, developing a future-ready workforce, and growing an innovation ecosystem. State-owned enterprises (SOEs) are seen as important to driving Indonesia's digital agenda given their significant size and role in the economy. The document analyzes Indonesia's current digital maturity compared to other ASEAN countries and identifies investment and policy priorities needed to close gaps in achieving its digital potential.
How AI based Chat bot help in e-governance?Ajay Chhabra
Chat bots can help governments in e-governance by providing a consistent channel of communication with citizens, personalizing services, educating citizens about programs and benefits, and streamlining transactions. Governments currently struggle to reach all citizens and ensure programs are visible and accessible. Chat bots could engage with citizens directly through popular messaging apps, inform them of updates, and help with tasks like payments and document retrieval in a more efficient way than existing bureaucracy. Several governments are already experimenting with chat bots to improve citizen services and experience.
Top Digital Strategic Predictions for 2017 and BeyondDuy, Vo Hoang
Digital business innovation is creating widespread disruption with both direct and secondary effects. By 2020, 100 million consumers will shop using augmented reality, interacting in more virtual ways. Business models will be transformed by mundane technologies like search and blockchain. Secondary effects of digital changes, like changes to transportation from self-driving cars, will often prove more disruptive than initial changes. Digital strategists must consider both direct and indirect consequences of new technologies.
The document discusses trends and predictions shaping the global tech sector in 2017. It summarizes 10 key predictions:
1. Artificial intelligence will continue its rapid growth and adoption across industries in 2017 after record levels of investment and deals in 2016. AI is proving its capabilities and is here to stay.
2. Millennials are leading the disruption of the traditional TV industry through increased consumption of over-the-top media services, radically changing how media is consumed. Networks will challenge the rise of these services in 2017.
3. E-sports will become a billion dollar industry in 2017, driven by its huge fan base of over 250 million people. E-sports has grown to become the fastest growing component of
Slide Deck for Connecting the Dots - Senior ThesisChloe Spilotro
The document discusses how the Internet of Things (IoT) will revolutionize digital marketing to millennials. It defines IoT as everyday objects using sensors and networks to gather and share data. Current IoT marketing initiatives allow more customized experiences and better targeted promotions through constant connectivity and detailed behavioral data. However, privacy and security risks could undermine adoption if not properly addressed. The increase in IoT devices presents new opportunities for creative, personalized campaigns, but also responsibilities to limit data collection and be transparent with consumers.
LUMA Digital Brief 020 - Market Report Q2 2018LUMA Partners
The document provides an overview of mergers and acquisitions (M&A) activity in the digital media sector in Q2 2018. Key points include:
- M&A activity slowed due to GDPR privacy regulations but picked up towards the end of the quarter.
- Notable deals included AT&T's acquisition of AppNexus and Adobe's acquisition of Magento.
- The stock performance of major ad tech and martech companies was strong, with many hitting all-time highs.
- Several digital media startups raised large funding rounds to fuel further growth.
LUMA presents "Disruption by the Numbers". The growth of digital media has created tremendous opportunities for publishers to reach and monetize audiences across the web. However, the industry's obsession with scale has brought challenges, such as platform vulnerability and not knowing their audience, leading publishers to rethink what it takes to thrive in an increasingly competitive battle for consumer attention and marketer wallets. In "Disruption by the Numbers", we dive deep into the challenges, opportunities, and trends impacting digital publishers today.
The document discusses how the digital economy is growing exponentially due to increasing mobile connectivity, social media usage, and data availability. It notes that digital technologies are being adopted faster than ever, with each new technology reaching 1 billion users in less time than the previous. The digital economy is transforming the insurance industry in India. By 2020, it is estimated that three out of four insurance policies in India will be influenced by digital channels like online purchasing. The document argues that Indian insurers need to act now to capitalize on the opportunities of the digital economy by setting digital goals, adapting business models and capabilities, and accelerating existing digital initiatives.
LUMA Digital Brief 015 - Market Report Q2 2017LUMA Partners
This document provides a market report on digital media M&A activity in Q2 2017 from LUMA, an advisory firm focused on media, marketing and technology. The summary includes:
- Private equity was active in Q2 with deals in MarTech assets. Snap Inc. also made two acquisitions in digital content and MarTech.
- Ad Tech M&A slowed while MarTech saw notable deals including Experian's Cross-Channel Marketing business and Moat.
- Digital content deals included Craftsy acquired by NBCUniversal and Double Down Interactive sold for $825M.
- Public company stocks in Ad Tech and MarTech rose in Q2 with notable gains by The Trade Desk and Log
LUMA Digital Brief 019 - Market Report Q1 2018LUMA Partners
This document provides an overview and analysis of digital media M&A activity in Q1 2018 according to LUMA Partners. It discusses trends in the Ad Tech, MarTech, and Digital Content sectors. In Ad Tech, notable deals included Pandora acquiring AdsWizz and Ericsson acquiring Placecast. In MarTech, notable deals were SAP acquiring CallidusCloud and GTCR/Sycamore Partners acquiring CommerceHub. In Digital Content, Tronc sold the Los Angeles Times. The document also analyzes stock performance and notable startup financings in Q1 2018. It highlights LUMA's expertise and approach to investment banking in digital media.
The document discusses how insurance is facing significant disruption from social, technological, economic, environmental, and political changes between now and 2020. These changes include a more fragmented customer base, rising digital connectivity and data availability, slowing economic growth in developed markets coupled with faster growth in emerging markets, increasing catastrophe risks, and greater political instability. Insurers will need to reinvent their business models to adapt to these trends and changing customer expectations in order to remain competitive. The document examines the implications of these changes and how insurers can design business strategies to succeed in this disrupted future.
This document provides an overview of the state of mobile media in 13 countries from the IAB Global Mobile Anthology 2013 report. It discusses the growth of mobile internet usage and smartphone penetration worldwide between 2011-2012. Country snapshots from the Americas, Europe, and Asia/Pacific are included that provide details on mobile advertising revenues, operators, technologies used and IAB mobile activities for each location. The document also highlights trends in several countries, such as the growth of mobile apps and videos in Brazil and increased Facebook mobile usage in Canada.
This document provides an overview of Turkey's digital landscape as of 2012. Some key findings include:
- Internet penetration had reached over 40% of the population.
- Young people aged 16-24 spent the most time online and on social media like Facebook, which had over 32 million Turkish users.
- Digital advertising spending was growing rapidly and made up around 15% of total ad spending. The top websites were mostly international like Google and YouTube.
- Mobile internet and 3G subscriptions were growing quickly, with over half of all web pages viewed on mobile.
- E-commerce was also increasing, with the most popular categories being food delivery and flowers. Several Turkish startups had received significant funding.
Despite the debates around privacy, disinformation and influencer authenticity; social media continues to fuel our digital lives. The biggest change is how. With ever evolving platforms, trends, and even content types, social is growing increasingly complex and discerning fact from fiction is becoming progressively more difficult. What will be the biggest trends for marketers in 2020? Chris Walts, Social Strategy Lead at Ogilvy UK, and Kanika Bali, Social Strategist at Ogilvy Hong Kong share their insights.
See above for our H1 2014 Digital Media and Internet market update - an overview on M&A transactions, relevant public equities, and key investments in the space through the Horizon Partners lens.
Location - The growing importance for marketers - presented by PosterscopePosterscope
Location, and especially consumer location data, is becoming increasingly important for the marketing industry to connect with audiences and build brand recognition. Location’s role in marketing planning has been augmented by advances in
technology, infrastructure increases and new data sources.
Following qualitative and quantitative research into location’s evolving role, Posterscope published this report to share the audience targeting opportunities behavioural insight creates for business.
Discover the top 5 revolutionary digital marketing trends that are breaking the mold and shaping the future of the industry. From AI-powered personalization to immersive experiences in the Metaverse, stay ahead of the competition with these cutting-edge strategies.
AI in Media & Entertainment: Starting the Journey to ValueCognizant
Up to now, the global media & entertainment industry (M&E) has been lagging most other sectors in its adoption of artificial intelligence (AI). But our research shows that M&E companies are set to close the gap over the coming three years, as they ramp up their investments in AI and reap rising returns. The first steps? Getting a firm grip on data – the foundation of any successful AI strategy – and balancing technology spend with investments in AI skills.
LUMA's State of Digital Marketing at DMS West 17LUMA Partners
The document summarizes the state of the digital marketing industry. It notes that ad tech and martech companies have seen strong stock performance recently, though many public companies in the space have faced challenges or been acquired. The digital ad market continues to grow rapidly, with Google and Facebook capturing the vast majority of new spending. Amazon is also emerging as a major competitor and disrupting both digital advertising and retail. The document advocates for further consolidation in the ad tech sector to improve market conditions.
Atkearney soe digital transformation report presentarimayawulantara
This document discusses Indonesia's digital transformation opportunities and challenges. It recommends that Indonesia establish a national digital vision supported by focus on digital infrastructure, consumer demand stimulation, developing a future-ready workforce, and growing an innovation ecosystem. State-owned enterprises (SOEs) are seen as important to driving Indonesia's digital agenda given their significant size and role in the economy. The document analyzes Indonesia's current digital maturity compared to other ASEAN countries and identifies investment and policy priorities needed to close gaps in achieving its digital potential.
How AI based Chat bot help in e-governance?Ajay Chhabra
Chat bots can help governments in e-governance by providing a consistent channel of communication with citizens, personalizing services, educating citizens about programs and benefits, and streamlining transactions. Governments currently struggle to reach all citizens and ensure programs are visible and accessible. Chat bots could engage with citizens directly through popular messaging apps, inform them of updates, and help with tasks like payments and document retrieval in a more efficient way than existing bureaucracy. Several governments are already experimenting with chat bots to improve citizen services and experience.
Top Digital Strategic Predictions for 2017 and BeyondDuy, Vo Hoang
Digital business innovation is creating widespread disruption with both direct and secondary effects. By 2020, 100 million consumers will shop using augmented reality, interacting in more virtual ways. Business models will be transformed by mundane technologies like search and blockchain. Secondary effects of digital changes, like changes to transportation from self-driving cars, will often prove more disruptive than initial changes. Digital strategists must consider both direct and indirect consequences of new technologies.
The document discusses trends and predictions shaping the global tech sector in 2017. It summarizes 10 key predictions:
1. Artificial intelligence will continue its rapid growth and adoption across industries in 2017 after record levels of investment and deals in 2016. AI is proving its capabilities and is here to stay.
2. Millennials are leading the disruption of the traditional TV industry through increased consumption of over-the-top media services, radically changing how media is consumed. Networks will challenge the rise of these services in 2017.
3. E-sports will become a billion dollar industry in 2017, driven by its huge fan base of over 250 million people. E-sports has grown to become the fastest growing component of
Slide Deck for Connecting the Dots - Senior ThesisChloe Spilotro
The document discusses how the Internet of Things (IoT) will revolutionize digital marketing to millennials. It defines IoT as everyday objects using sensors and networks to gather and share data. Current IoT marketing initiatives allow more customized experiences and better targeted promotions through constant connectivity and detailed behavioral data. However, privacy and security risks could undermine adoption if not properly addressed. The increase in IoT devices presents new opportunities for creative, personalized campaigns, but also responsibilities to limit data collection and be transparent with consumers.
LUMA Digital Brief 020 - Market Report Q2 2018LUMA Partners
The document provides an overview of mergers and acquisitions (M&A) activity in the digital media sector in Q2 2018. Key points include:
- M&A activity slowed due to GDPR privacy regulations but picked up towards the end of the quarter.
- Notable deals included AT&T's acquisition of AppNexus and Adobe's acquisition of Magento.
- The stock performance of major ad tech and martech companies was strong, with many hitting all-time highs.
- Several digital media startups raised large funding rounds to fuel further growth.
LUMA presents "Disruption by the Numbers". The growth of digital media has created tremendous opportunities for publishers to reach and monetize audiences across the web. However, the industry's obsession with scale has brought challenges, such as platform vulnerability and not knowing their audience, leading publishers to rethink what it takes to thrive in an increasingly competitive battle for consumer attention and marketer wallets. In "Disruption by the Numbers", we dive deep into the challenges, opportunities, and trends impacting digital publishers today.
The document discusses how the digital economy is growing exponentially due to increasing mobile connectivity, social media usage, and data availability. It notes that digital technologies are being adopted faster than ever, with each new technology reaching 1 billion users in less time than the previous. The digital economy is transforming the insurance industry in India. By 2020, it is estimated that three out of four insurance policies in India will be influenced by digital channels like online purchasing. The document argues that Indian insurers need to act now to capitalize on the opportunities of the digital economy by setting digital goals, adapting business models and capabilities, and accelerating existing digital initiatives.
LUMA Digital Brief 015 - Market Report Q2 2017LUMA Partners
This document provides a market report on digital media M&A activity in Q2 2017 from LUMA, an advisory firm focused on media, marketing and technology. The summary includes:
- Private equity was active in Q2 with deals in MarTech assets. Snap Inc. also made two acquisitions in digital content and MarTech.
- Ad Tech M&A slowed while MarTech saw notable deals including Experian's Cross-Channel Marketing business and Moat.
- Digital content deals included Craftsy acquired by NBCUniversal and Double Down Interactive sold for $825M.
- Public company stocks in Ad Tech and MarTech rose in Q2 with notable gains by The Trade Desk and Log
LUMA Digital Brief 019 - Market Report Q1 2018LUMA Partners
This document provides an overview and analysis of digital media M&A activity in Q1 2018 according to LUMA Partners. It discusses trends in the Ad Tech, MarTech, and Digital Content sectors. In Ad Tech, notable deals included Pandora acquiring AdsWizz and Ericsson acquiring Placecast. In MarTech, notable deals were SAP acquiring CallidusCloud and GTCR/Sycamore Partners acquiring CommerceHub. In Digital Content, Tronc sold the Los Angeles Times. The document also analyzes stock performance and notable startup financings in Q1 2018. It highlights LUMA's expertise and approach to investment banking in digital media.
The document discusses how insurance is facing significant disruption from social, technological, economic, environmental, and political changes between now and 2020. These changes include a more fragmented customer base, rising digital connectivity and data availability, slowing economic growth in developed markets coupled with faster growth in emerging markets, increasing catastrophe risks, and greater political instability. Insurers will need to reinvent their business models to adapt to these trends and changing customer expectations in order to remain competitive. The document examines the implications of these changes and how insurers can design business strategies to succeed in this disrupted future.
This document provides an overview of the state of mobile media in 13 countries from the IAB Global Mobile Anthology 2013 report. It discusses the growth of mobile internet usage and smartphone penetration worldwide between 2011-2012. Country snapshots from the Americas, Europe, and Asia/Pacific are included that provide details on mobile advertising revenues, operators, technologies used and IAB mobile activities for each location. The document also highlights trends in several countries, such as the growth of mobile apps and videos in Brazil and increased Facebook mobile usage in Canada.
This document provides an overview of Turkey's digital landscape as of 2012. Some key findings include:
- Internet penetration had reached over 40% of the population.
- Young people aged 16-24 spent the most time online and on social media like Facebook, which had over 32 million Turkish users.
- Digital advertising spending was growing rapidly and made up around 15% of total ad spending. The top websites were mostly international like Google and YouTube.
- Mobile internet and 3G subscriptions were growing quickly, with over half of all web pages viewed on mobile.
- E-commerce was also increasing, with the most popular categories being food delivery and flowers. Several Turkish startups had received significant funding.
Despite the debates around privacy, disinformation and influencer authenticity; social media continues to fuel our digital lives. The biggest change is how. With ever evolving platforms, trends, and even content types, social is growing increasingly complex and discerning fact from fiction is becoming progressively more difficult. What will be the biggest trends for marketers in 2020? Chris Walts, Social Strategy Lead at Ogilvy UK, and Kanika Bali, Social Strategist at Ogilvy Hong Kong share their insights.
See above for our H1 2014 Digital Media and Internet market update - an overview on M&A transactions, relevant public equities, and key investments in the space through the Horizon Partners lens.
Location - The growing importance for marketers - presented by PosterscopePosterscope
Location, and especially consumer location data, is becoming increasingly important for the marketing industry to connect with audiences and build brand recognition. Location’s role in marketing planning has been augmented by advances in
technology, infrastructure increases and new data sources.
Following qualitative and quantitative research into location’s evolving role, Posterscope published this report to share the audience targeting opportunities behavioural insight creates for business.
Discover the top 5 revolutionary digital marketing trends that are breaking the mold and shaping the future of the industry. From AI-powered personalization to immersive experiences in the Metaverse, stay ahead of the competition with these cutting-edge strategies.
AI in Media & Entertainment: Starting the Journey to ValueCognizant
Up to now, the global media & entertainment industry (M&E) has been lagging most other sectors in its adoption of artificial intelligence (AI). But our research shows that M&E companies are set to close the gap over the coming three years, as they ramp up their investments in AI and reap rising returns. The first steps? Getting a firm grip on data – the foundation of any successful AI strategy – and balancing technology spend with investments in AI skills.
Leveraging Generative AI: Opportunities, Risks and Best Practices Social Samosa
Generative AI has the potential to revolutionize content creation and customer engagement for advertisers. However, there are also significant legal risks and challenges to consider when using generative AI, such as issues around copyright ownership of AI-generated content and potential infringement. Advertisers must familiarize themselves with applicable regulations in India like the Copyright Act, Trademarks Act, and Information Technology Act to ensure compliance and avoid legal issues. Establishing best practices for areas like data security, transparency and accountability is crucial for ethical use of generative AI in advertising.
Digital Marketing Megatrends - Breaking Taboos and NormsGeorgiana Ghiciuc
It’s that time of the year again when we look back at 2017, gaze at the things that impacted the digital marketing scenario, and look ahead into what the future holds. We predict that 2018 will bring bigger, bolder changes to the world of digital marketing.
Break taboos and norms with our 10 digital marketing megatrends for 2018. Check them out, and you might have a chance of survival in the digital marketing “sharktank”.
The Impact of AI Solutions on Paid Social Advertising Platforms in 2024Sarah Boyer
In the ever-evolving landscape of digital marketing, 2024 has witnessed a significant transformation brought about by the integration of Artificial Intelligence (AI) in paid social advertising platforms. This article delves into the multifaceted impact of AI solutions on these platforms, highlighting the advancements, challenges, and future prospects in this dynamic domain.
Five Smart Marketing Use Cases For Artificial IntelligenceBernard Marr
Artificial Intelligence (AI) is transforming marketing. Here we look at the different ways companies of any size, and with any budget, can make use of this technology to improve marketing performance.
This document summarizes an article about artificial intelligence from The Smart Manager magazine. It discusses:
1) How AI is becoming more advanced through machine learning, computer vision, speech recognition, and natural language processing. These technologies are being applied in many industries like banking, insurance, retail, and IT.
2) Examples of how AI is being used, such as chatbots, image recognition for online shopping, and data analysis tools that generate reports. Sectors like marketing, customer service, and recruiting are utilizing AI.
3) That organizations must adapt to technological changes and adopt AI in order to stay relevant and not become obsolete as AI capabilities continue to rapidly improve.
Beyond the Buzz: How Sectors as Diverse as Logistics, Finance, Healthcare & M...Leah Kinthaert
In their report, “Predictions 2017: Artificial Intelligence Will Drive The Insights Revolution”, Forrester Research predicts that “insights-driven businesses will steal $1.2 trillion per annum from their less-informed peers by 2020”. Statista tells us that this year “the global AI market is expected to be worth approximately 7,35 billion U.S. dollars.”
I compiled a “best of” e-book for Informa Connect Learning from interviews with 34 pioneers on the topic of AI in marketing, healthcare, finance and maritime/logistics. From Wolfgang Lehmacher, Head of Supply Chain and Transport Industries of the World Economic Forum to Forbes 30 under 30 Domeyard Hedge Fund Partner, Christina Qi, the Global No. 1 Fintech, AI,
Blockchain & No. 2 InsurTech Influencer by Onalytica, Spiros Margaris to award winning scientist and entrepreneur, ReviveMed CEO and Co-Founder, Leila Pirhaji -
learn how 34 of the top artificial intelligence experts in the world are using AI to disrupt their industries, increase profits, drive efficiencies and in many cases - save lives.
Generative AI will transform how people access information, from search engines to commerce platforms. Growth in the next year will not only be about hard economics; it will also be about brands’ sustainable contributions to society.
The overall impact of artificial intelligencekoteshwarreddy7
Artificial intelligence (AI) can have a transformative impact on international trade. Specific applications in areas such as data analytics and translation services are already lowering barriers to trade. At the same time, there are challenges in Artificial Intelligence App Development that international trade rules could address, such as improving global access to data to train AI systems.
9 Digital Marketing Trends To Watch Out For In 2020Sujoy Mukherji
Digital Marketing is defined as an online platform where one can advertise their products and services on the internet or any other digital medium.
As we have already approached the year 2020, let’s look at a few of the upcoming Digital Marketing Trends this 2020. I like to call it the Digital Era!
Competition is always out there, and businesses should be well prepared with the latest trends.
Discover the 9 Digital Marketing Trends to Watch Out For in 2020>>>
Artificial intelligence is powering new trends in 2017 that will impact the consumer journey. These trends include predictive search capabilities that anticipate consumer needs, the ability to identify and react quickly to new trends from vast amounts of online data, and the passive collection of behavioral data from internet-connected devices to deliver personalized experiences. Brands can take advantage of these trends to enhance the consumer experience at each stage of the journey and stay ahead of competitors.
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.
This document discusses several top digital marketing trends for 2021:
1. Artificial intelligence will be widely used for tasks like analyzing consumer behavior, product recommendations, and automating customer service through chatbots.
2. Programmatic advertising allows more targeted digital ad campaigns through real-time bidding automation.
3. Chatbots and conversational marketing are growing trends as consumers expect immediate, personalized responses from brands.
4. Personalization through customized content, products, and communications is important for standing out to consumers.
This document discusses several top digital marketing trends for 2021:
1. Artificial intelligence will be widely used for tasks like analyzing consumer behavior, product recommendations, and automating customer service through chatbots.
2. Programmatic advertising allows more targeted digital ad campaigns through real-time bidding automation.
3. Chatbots and conversational marketing are growing trends as consumers expect immediate, personalized responses from brands.
4. Personalization through customized content, products, and communications is important for standing out to consumers.
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.
OurCrowd is an online venture capital platform that allows accredited investors to invest in startups, including those in the adtech sector. Adtech refers to the technology that powers digital advertising, enabling targeted ads through real-time bidding platforms. The global digital ad market is worth $142 billion currently and growing rapidly, especially in mobile which is projected to reach $73 billion by 2018. Major players in adtech include Google, Facebook, and Amazon, who have spent billions acquiring adtech companies in recent years. The high acquisition activity is a sign of consolidation in the large and fragmented adtech sector.
Similar to GroupM's - The Next 10: Artificial Intelligence (20)
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
According to the report, the consumption of video content related to IPL 2024 has seen significant growth, nearly 3 times more than the previous season, reflecting an increasing interest of fans.
Deloitte Gen Z Millennial Survey 2024_India_Full length report_.pdfSocial Samosa
The campaign, featuring messages like 'A vow of celibacy is not the answer' and 'Thou shalt not give up on dating and become a nun,' drew widespread condemnation, with netizens expressing their disappointment and frustration on social media.
The report showcases that in 2023, Maharashtra ranked first in BFSI sector ad volumes with a 20% share, while on digital platforms, AMFI was the top advertiser, accounting for 8% of total ad impressions in the BFSI sector.
Honasa Consumer Ltd's report titled, 'Driven by Purpose' outlines the significant impact of various purpose-driven initiatives in terms of economic development, environmental stewardship, and community empowerment.
WebEngage's report found D2C and E-Commerce sectors accounting for 35.8% of respondents, reflecting the growing focus on customer retention for long-term profitability and the increasing demand for retention marketing talent.
TAM Sports_IPL 17 Till Match 37_Celebrity Endorsement _Report.pdfSocial Samosa
During IPL 17, the top five categories and advertisers accounted for 75% and 65% of ad volume shares of celebrity-endorsed ads with Sporta Technologies being the top advertiser & Ecom-gaming being the leading category.
Social Samosa Guidebook for SAMMIES 2024.pdfSocial Samosa
Social Samosa is back with the sixth edition of the Best Social Media Brands Awards #SAMMIE2024 where we highlight the brands excelling in social media with innovative campaigns with strong engagement.
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfSocial Samosa
According to the Kantar AI Report, India's AI user base is 724 million and is projected to grow 6% year over year, with users engaging in AI features like image filters, personalized recommendations, and smart devices.
TAM AdEx 2023 Cross Media Advertising Recap - Auto SectorSocial Samosa
TAM AdEx's recent report -- '2023 Cross Media Advertising Recap - Auto Sector' summarizes ad volumes in the Auto sector across TV, Print, Digital, and Radio for 2023.
TAM Sports IPL 17 Advertising Report- M01 - M23Social Samosa
During IPL 17 (2024), the count of categories and advertisers increased by 65% and 37% compared to IPL 16 (2023). Among the top five Categories in IPL 17, two were from the Food & Beverages Sector. Ecom-Gaming led the list of top categories.
During IPL 17 (2024), the count of categories and advertisers increased by 63% and 26% compared to IPL 16 (2023). Among the top five Categories in IPL 17, two were from the Food & Beverages Sector. Ecom-Gaming led the list of top categories.
TAM AdEx - 2023 Cross Media Advertising Recap - FMCG Sector.pdfSocial Samosa
TAM AdEx's recent report summarizes ad volumes in the FMCG sector across TV, Print, Digital, and Radio for 2023. Titled '2023 Cross Media Advertising Recap - FMCG Sector', the report provides an overview of advertising trends.
Ecom-Gaming maintained its top position throughout all the seven matches of IPL 17. The top five categories in IPL 17 together had 52% share of ad volumes. The count of advertisers increased by 28% during IPL 17 over IPL 16.
Media and Internet Preview Q4FY24 Elara CSocial Samosa
Zomato is expected to continue its growth trajectory in Q4FY24, with a projected 54% YoY revenue increase. PVR Inox is expected to witness a 13.3% YoY growth in box office revenue and a 20.8% YoY surge in food and beverages revenue.
As per the report, B2B sellers in India increasingly rely on AI for tasks like prospect research and lead generation, with 90% seeing it as crucial for future success.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
2. The Next 10 is a new addition to GroupM's "Next" series, encompassing the
weekly podcast This Week, Next Week, our biannual global ad revenue forecast
This Year, Next Year and now The Next 10—exploring the technology and
behaviors shaping the next decade of advertising. In this edition of Next 10
we are publishing new, proprietary forecasts on the size of AI in advertising.
We estimate it will reach more than $370 billion this year and is likely to inform
the vast majority of media by 2032, reaching $1.3 trillion, or more than 90%
of total ad revenue.
1
NEXT 10
THE
INTRODUCTION
AI IN ADVERTISING
HOW CONSUMER EXPERIENCES
WILL CHANGE
WHY AI-ENABLED ADVERTISING
AND PERSONALIZATION MATTER
IMPLICATIONS FOR MARKETERS:
RESPONSIBLE AND ETHICAL AI
SCENE SETTING
02
05
06
08
11
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APRIL 2022 • THE NEXT 10 I AR TI FI CI AL I NTELLI GENCE
3. 2
AI WILL PERMEATE THE MARKETING
INDUSTRY AND ENABLE PRIVACY-
FIRST PERSONALIZATION AT SCALE.
It feels like a foregone conclusion by now that the
streets (or subterranean tunnels) of 2032 will be
populated by autonomous vehicles (AV) ferrying
passengers and cargo from point A to point B.
The march to fully autonomous vehicles has not
been without incident and has largely played out
in the public sphere, especially in AV proving
grounds like San Francisco and Phoenix, where
one could regularly see cars kitted out with various
sensors and equipment. There is something
endearing about seeing the physical cameras and
LIDAR equipment powering these new smart
vehicles. For many of us, the ability to see, and
therefore understand, the physical skills and
decision-making processes at work in autonomous
vehicles has helped normalize their ascent, despite
the inevitable loss of delivery and public transport
jobs that will result from the technology’s success.
In contrast, the AI infiltration of the advertising
industry has happened largely behind the scenes,
with the general public aware primarily of its
failures: the “creepy” retargeting ad that follows
someone around the internet, the disastrous
outcomes of weaponizing targeted advertising
systems to sow division and misinformation.
These examples are unfortunately more common
than we would like to think—and probably largely
unattributed by consumers to the use of AI. But
so, too, are the less-acknowledged (or at least less
publicly acknowledged), successes: the trillions
of brand messages delivered programmatically,
the ability to match consumer intent with product
offerings across voice, image and text searches, and
even the creation of ad copy or creative using GANs
and GPTs (see page 5 for a glossary). The use of
AI tools extends well beyond these examples and is
already pervasive across the advertising industry.
I N T R O D U C T I O N
Though it can sometimes feel that AI has already
upended the advertising industry, the reality is that
we are only just beginning to glimpse the impact of
this transformational technology. In this report, we
look 10 years into the future to imagine where the
changes we are experiencing today will lead—and
what advertisers can do to prepare. While an exercise
of this kind is speculative by nature, this report is
rooted in the insights of the GroupM analysts,
strategists and technologists who necessarily
incorporate a long-term view when shaping the
next era of media where advertising works better
for people.
For the purposes of this paper, we define AI-enabled
advertising as any artificial intelligence used in the
process of advertising, from insight generation to
activation and optimization. We include technology
and algorithms that sit under the umbrella of AI,
such as machine learning, neural networks, computer
vision, natural language processing (NLP), and
intelligent process automation.
APRIL 2022 • THE NEXT 10 I AR TI FI CI AL I NTELLI GENCE
4. In that sense, we are taking a broad approach to defining how AI may be applied to advertising. This definition
includes human-in-the-loop and supervised learning, used to develop tools like recommendation algorithms for
streaming platforms, for example. It is a conscious distinction in contrast to the narrow definition of AI more closely
associated with artificial general intelligence (AGI) under which the technology must act intelligently on its own,
adapting its behavior in pursuit of its goal without input or supervision from humans. It’s important to note that
under our broad definition, practically all search and social advertising in advanced markets is already AI-enabled
to some degree, using platform-based machine learning algorithms to identify audiences, optimize campaigns,
and buy programmatically. Search campaigns, for example, already use combinations of machine learning, NLP,
and computer vision to return the most relevant results.
A R T I F I C I A L I N T E L L I G E N C E
NATURAL
LANGUAGE
PROCESSING
MACHINE
LEARNING
COMPUTER
VISION
ROBOTICS &
MANUFACTURING
OPTIMISATION
SUPERVISED LEARNING
(Deep Learning, Decision Trees)
UN-SUPERVISED LEARNING
(Clustering)
SPEECH
TEXT
AI-enabled marketing
already accounts for more
than $370 billion of global
advertising revenue, or
roughly 45% of all advertising.
And its growth will only
continue. By 2032, AI-enabled
advertising could account
for $1.3 trillion in advertising
revenue, more than 90%
of the total.
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5. Importantly, this figure does not include revenue
from creative ideation and production, nor AI
use cases that fall into related activity, such as the
conversational AI chatbots performing customer
service. Today, creative work using stock imagery
typically relies on an image recommendation
algorithm to match search keywords to an image.
By 2032, that will likely evolve to creative
strategists explaining the desired image to a
generative AI using the newest version of GPT
(currently three) or similar technologies. Why rely
on the same stock imagery that anyone else can use
when you can purpose-build your own? And
instead of filming each automotive ad through
winding roads individually, AI is already being
used to map digital versions of the landscape where
new models can be inserted for future campaigns.
BREAKDOWN OF AI-ENABLED
AD REVENUE
GROWTH OF AI-ENABLED
ADVERTISING
To assess the scale of AI in advertising
10 years from now, we start by assuming
that AI touches nearly all internet advertising
at the current point in time (given our broad
definition of AI and inclusion of analytical
AI techniques, including recommendation
and prediction engines as well as text
analysis). If we assume digital advertising
in all its forms experiences a sustained faster-
than-overall-advertising-industry growth
rate—let's say, 7%—based on the
2026 forecasts GroupM published in
December’s This Year Next Year report,
we would calculate $1.3 billion in AI-enabled
advertising revenue to media owners,
eventually comprising more than 90% of
total advertising as channels like TV, Audio,
and Outdoor become increasingly digital.
These are examples that are already being tested today, but there will be new ad formats that
haven’t been invented or even conceived of yet that are also excluded from our current
$1.3 trillion forecast. The combination of new and emerging technologies like those
we explore on the next page will almost certainly lead to new formats for future brand
interaction and advertising activity.
0
200
400
600
800
1000
1200
1400
2
0
1
5
2
0
1
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2
0
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7
2
0
1
8
2
0
1
9
2
0
2
0
2
0
2
1
2
0
2
2
2
0
2
3
2
0
2
4
2
0
2
5
2
0
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2
0
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2
8
2
0
2
9
2
0
3
0
2
0
3
1
2
0
3
2
IN
$USD
TRILLIONS
DIGITAL TV DIGITAL AUDIO DIGITAL OOH
DIGITAL NON-SEARCH DIGITAL SEARCH NON-DIGITAL
AI-Enabled vs.
Non-AI-Enabled Media
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2
0
1
5
2
0
1
6
2
0
1
7
2
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0
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2
0
2
9
2
0
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0
2
0
3
1
2
0
3
2
IN
$USD
TRILLIONS
TOTAL AI-ENABLED MEDIA NON AI-ENABLED
AI-Enabled Ad
Revenue by Medium
Source: GroupM
Source: GroupM
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6. All these technologies taken together unlock the possibility of mass personalization. For our purposes here,
we’re defining personalization as any customization of a message, experience, or service based on knowledge about
a person or group of people, whether that knowledge comes from contextual signals, direct data signals, or inputs
from the individuals themselves. Most critically, given the regulatory environment of the 2020s, we expect this
personalization to happen in a privacy-first way—that is, using available technology such as data clean rooms, edge
computing, and contextual targeting to provide personalized experiences without unrestricted access to personal data.
Perhaps unsurprisingly, as data has become the backbone to so many products and services, the treatment and
protection of data is a theme common to both autonomous vehicles and advertising. There are logistical, ethical,
and legal questions to answer when every car, truck, drone, and person traversing our streets is outfitted with cameras,
computers, and intelligent software. In such a scenario, vehicles will be able to travel in a coordinated and more efficient
way, avoiding accidents and improving traffic flow, but the onus will be on lawmakers and companies to ensure human
safety (both physical and mental) above all else.
There are two main types:
supervised and unsupervised.
Supervised algorithms are
trained on a set of data to
be able to make predictions.
Unsupervised learning
algorithms learn patterns
from non-labeled training data.
Examples: personalization,
recommendation, and prediction
engines, data clean rooms.
Machine Learning
AI IN ADVERTISING
GLOSSARY
Automation of image recognition
and analysis.
Examples: image search, facial
recognition, dynamic ad insertion.
Computer Vision
Used to simulate the actions
and interactions of people (or
autonomous agents). Used to
understand complex behavior
of systems using actions of
individuals within those systems.
Examples: scenario planning,
epidemic modeling.
Agent-Based Modeling
The ability for computers to
understand and produce
human language.
Examples: voice search,
contextual targeting.
Natural Language
Processing
Conversational Systems
Simulation of a human conversant
using text-to-speech and speech-to-text
and possibly voice cloning.
Examples: chatbots, digital assistants.
Two competing neural networks
(a subset of machine learning),
trained on a set of data, that learn to
produce similar data, e.g., pictures
of faces.
Examples: deepfakes, AI influencers,
dynamic ad insertion,
written/video/audio content creation.
Generative Adversarial
Network (GAN)
Generative Pre-trained
Transformer (GPT)
A language model using deep
learning (a subset of machine
learning) to produce text.
Examples: copywriting,
content creation
A simulated experience using
headsets or heads up displays
(HUD) to generate realistic
images, sounds, and sensations.
Virtual & Augmented
Reality
Connected computing devices
embedded in everyday objects that can
send and receive data.
Internet Of Things (IoT)
Analytical
Conversational
Generative
Hardware
Brings computation and data analysis to
the sources of data (e.g., personal devices
or IoT devices) in a distributed model.
Edge Computing
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7. In 2032, the media landscape will look considerably different
as a result of the widespread adoption of technology, AI and
wireless connectivity.
6
SCENE SETTING
With ad-free and ad-lite
environments dominating,
interruptive broad-reach
advertising will be tolerated
less, and advertisers will
have to be more creative
and relevant in reaching
consumers within and
outside these environments.
In much of the world, linear TV reach will no longer
be sufficient to meet most marketer goals. Streaming
services, dominated by the U.S.-based incumbents
Amazon, Disney, Netflix, Paramount and Peacock,
will be increasingly globally oriented and ad-free
or ad-lite. Smaller national and regional players
will likely account for limited viewership numbers
(in line with their share of spend on content).
Many marketers will choose to plan TV along with
other video environments, including YouTube and
potentially TikTok or some future video platform,
where consented information on viewers within those
walled gardens allows for targeted messaging. Others
will transition TV planning to sit alongside cultural,
event, and sports planning in pursuit of shaping
(or at least appearing alongside) the broader cultural
conversation.
In a continuation of trends seen today, audio will
be increasingly national or international (much like
the globalization of video content). The growth of
audio-first devices like ear buds, smart home speakers,
and car audio systems, means that voice search will
most likely overtake text-based search by 2032 (current
estimates suggest 10-15% of searches are initiated via
voice). The use of digital assistants in the majority of
those voice environments will allow for greater
personalization of advertising in music, podcasts,
search and shopping results utilizing the growing
capabilities of edge computing, NLP and 5G
connectivity.
A U D I O
T V
APRIL 2022 • THE NEXT 10 I AR TI FI CI AL I NTELLI GENCE
8. 6
D A T A
Advances in AI and edge computing will mean
that data is most often managed on-device and
will be increasingly obfuscated or anonymized by
AI and privacy services like Apple’s Private Relay,
reducing the potential usefulness of first-party
data strategies outside of logged-in environments.
For those companies that are unable to convince
consumers to opt into data sharing, contextual
targeting, better creative, and better use of limited
available data will be critical. There will be instances
where a consumer enters data for the explicit
purpose of personalizing products or services,
such as seat preference data on a travel booking
site or dietary information on a recipe site. The
travel company and the cooking site don’t need to
know anything else about that consumer in these
cases. They can use the data to provide a personal
experience to the consumer and can aggregate the
data to make inferences about broad customer
segments, even though they likely won’t be able
to follow either consumer around the web as they
did in the heyday of retargeting.
D I G I T A L M E D I A
We forecast that broadly defined ecommerce will
continue to increase as a share of total retail sales
and could represent more than 40% of total retail
globally. App-based commerce, rapid delivery, and
3D printing will transform the consumer journey
of 2032, reinforcing consumer expectations around
convenience, speed, and customization. Computer
vision and ML algorithms will continue to enable
more personalized shopping experiences including
virtual try-on and size recommendations. AI-enabled
features like Amazon’s “View in Your Room” are
already making shopping an augmented reality (AR)
experience and, by 2032, this will likely expand to
additional categories from beauty and automotive
to travel.
R E T A I L M E D I A
7
Online media opportunities, including digital news
and editorial content in addition to social media,
will likely be increasingly cluttered in 2032. This
will make ad-blocking services more popular and will
make it harder to introduce new products and brands,
conferring an advantage on “known” brands. In these
environments, where personalization is already rife,
there will be greater maturity as data regulations are
proposed and take effect, with the hope that this
will lead to greater trust and transparency online.
Machine-learning algorithms will be able to optimize
for relevance and personalized experiences within
logged-in environments or using contextual signals
(where not logged-in).
Online media
opportunities,
including digital
news and editorial
content in addition
to social media, will
likely be increasingly
cluttered in 2032.
APRIL 2022 • THE NEXT 10 I AR TI FI CI AL I NTELLI GENCE
9. HOW
CONSUMER
EXPERIENCES
WILL CHANGE
8
APRIL 2022 • THE NEXT 10 I AR TI FI CI AL I NTELLI GENCE
One of the most important implications of the growing use of AI
is that marketers looking to capitalize on its capacity to drive
personalization will increasingly tie products, consumer experiences,
and advertising closer together. While it isn’t a given that AI will be
used in every campaign or every business, the following are a few
examples of how AI could flow from product to customer experience
to advertising over the next decade.
10. E N T E R T A I N M E N T
In this imagined future, movie and gaming studios will use
generative AI (e.g., GAN and GPT) to personalize storytelling.
Awareness campaigns for new IP that run across streaming
platforms and digital audio can feature different characters
or plot lines depending on the target audience with minimal
added time and effort. AI-generated interactive avatars
of characters can be deployed into shows, social platforms,
metaverse environments,* or even real-world locations
if a person is wearing AR glasses with a HUD. Audiences
and players, instead of purchasing a single download,
could opt to play the movie or game multiple times, choosing
new adventures, endings, or even main characters, all made
possible by generative AI. Data from all these variations
would be anonymized and aggregated and used to inform
future IP.
A U T O M O T I V E
Automotive companies will likely make use of generative
AI and digital twin technology to power their product,
customer, and advertising experiences. By 2032, we could
imagine that all the world’s roads and highways will be
digitally mapped, and many will be equipped with sensors
measuring wind, temperature, or even the angle of the sun.
Both the autos and the routes they drive will have digital
twins—virtual models used to run simulations, analyze
performance, and suggest future improvements. These
virtual models could be available in video games to
generate awareness and enable virtual test drives.
Video ad campaigns could feature the car or truck in
a personalized shade of green in that viewer’s own city
or town without having to film there. Even custom
specifications for the car, loan financing, and test drive
scheduling could be done using interactive AI chatbots
employing real-time market dynamics and road
conditions, as well as inventory numbers. Once the
vehicle is purchased, any consented driving data could
feed personalized maintenance and performance
recommendations.
Automotive companies
will likely make use
of generative AI and
digital twin technology
to power their product,
customer, and
advertising experiences.
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APRIL 2022 • THE NEXT 10 I AR TI FI CI AL I NTELLI GENCE
11. In CPG, one of the biggest opportunities could
be the growth of personalized nutrition and
personal care using machine learning and
genomic sequencing. For that to become reality,
AI-enabled personalization at scale would be
crucial. Digital outdoor screens with multi-view
pixel technology (where two people looking at
the same screen could be shown two different
messages) would enable Person A to see an ad
for a post-workout drink formulated to their
metabolism, while Person B sees an ad for
sunscreen matched to their skin tone and skin
pH.* This happens without the use of glasses,
on the same screen at the same time. Home IoT
and digital purchase histories will make
subscriptions to CPG products (either directly
or via an omnibus subscription at a brand level)
increasingly desirable from the advertiser’s
perspective and will in turn create higher
barriers to brand switching. All this health data,
including purchases and usage, but especially
genetic data, will obviously require protection
and ethical treatment. Laws regarding genetic
data must catch up to current and future use
cases before AI-enabled products and advertising
are scaled up.
Apparel brands could see massive opportunity
as well as disruption from the use of computer
vision, generative AI, and machine-learning
algorithms. Brand building will therefore be an
important weapon against a vast grey market of
knockoffs, as well as marketplaces of user-generated
designs (UGD) available to download and 3D
print or fabricate locally. In this future AI-enabled
environment, large brands could benefit from
partnerships with content producers in which
products are dynamically inserted into TV, films,
and video games, with an option for the consumer
to “shop the look.” However, for any customer
journey starting with a product image search
(perhaps snagged from an influencer video or
the local coffee shop), brands will likely have to
contend with retailer knockoffs—which can already
be found on several online shops today—as well as
marketplaces for digital designs. A dominant
UGD marketplace (the YouTube of products),
could host billions of designs for shoes and jewelry,
or anything that could be 3D-printed from a variety
of materials, including metal, wood, and plastic,
using AI and no-code development. This would
democratize design and empower those without
any knowledge of computer-aided design (CAD)
to design and sell products. For example, a
consumer could buy a digital sneaker file from
an up-and-coming designer, send it to their local
retailer-turned-commercial-3D-printer, and
have the shoes delivered via drone the same day.
A P P A R E L
C P G
Laws regarding
genetic data must
catch up to current
and future use cases
before AI-enabled
products and
advertising
are scaled up.
It must be noted that each of these scenarios should be consented,
secure, and additive to the overall consumer experience. The
ability to place ads everywhere using new screen technology or
AR glasses doesn’t mean everyone wants these available all the
time. Some of the biggest advances may be in the processes by
which consumers control their openness to advertising, the times
and situations in which they’re happy to receive messages, and
the companies that they want to hear from. One could imagine
a sort of “browsing” versus “focused/incognito” toggle for one’s
devices and digital persona.
10
APRIL 2022 • THE NEXT 10 I AR TI FI CI AL I NTELLI GENCE
12. 11
In the world of 2032, we expect AI to underpin everything from
creative versioning to consumer purchase decisions, all in a privacy-
first way. Consumers will expect marketing messages that are relevant,
personalized, and non-interruptive, greatly simplifying their daily
decision-making. This may not always be what consumers get. But
the brands and platforms that get it right should enjoy an advantage
in consumer attention, consideration, and loyalty. There will almost
certainly be occasions where targeting or optimization algorithms
contain unconscious biases, or where an algorithm seeks to achieve its
goal in ways its human supervisors didn’t intend or foresee—examples
of this abound in current computer science literature.
APRIL 2022 • THE NEXT 10 I AR TI FI CI AL I NTELLI GENCE
WHY AI-ENABLED
ADVERTISING AND
PERSONALIZATION
MATTER
13. AI will make it not only possible, but efficient to provide each individual with a custom message, offer, or even product.
In some cases, the power will likely shift to the walled gardens, where all these disparate points of data can be
aggregated and analyzed. In some cases, it could shift to consumers, who will be able to see only product suggestions
or ads for items they are interested in. They may also have the option to customize those products to suit their exact
needs, rather than settling for a version created with the mass-market in mind.
There are actions that brands can take now to capture benefits and avoid pitfalls associated with the AI
transformation of advertising, with varying levels of action across the strategic-planning time horizon.
THE NEXT 10
T I M E H O R I Z O N S
§ Re-examine brand goals for a future of reduced
TV reach and greater addressability. Is your
brand message the same for all people or highly
individualized? How will you achieve front-end
investment in the brand in a world of AI-enabled
addressability and programmatic delivery?
§ Use AI-enabled scenario-planning tools to
prepare for changing media behaviors. The act of
preparing, rather than the plan itself, is valuable.
Tools like agent-based modeling and strategy
simulation can help marketing organizations test
resilience and agility given future disruption.
§ Plan for augmentation of organizational
workflows and tasks. Embrace the new
efficiencies and capabilities provided by AI and
evolve marketing teams to work with AI tools
across creative ideation and production to media
planning and execution.
TACTICAL
(e.g., Current Campaigns)
STRATEGIC
PLANNING
(e.g., Partnerships)
EMERGING
OPPORTUNITIES
(e.g., Goals, Workflow)
EVOLUTION
(e.g., Business Model)
I M M E D I A T E
6-12 MONTHS
N E A R - T E R M
12-24 MONTHS
I N T E R M E D I A T E
2-5 YEARS
L O N G - T E R M
5-10 YEARS
12
§ Expand your competitive set and your source of
inspiration beyond the bounds of your immediate
sector. Future partnerships and business models
will likely cross industry boundaries as customer
purchasing behavior is augmented by AI.
APRIL 2022 • THE NEXT 10 I AR TI FI CI AL I NTELLI GENCE
14. Before long, we will likely need to overcome our fear of riding in an autonomous vehicle. Similarly,
we should not let fear of AI augmentation paralyze our progress toward offering better advertising
experiences for consumers and advertisers alike. AI is already here, and it’s not slowing down. Our
human effort can best be applied imagining what we want the future to look like, designing the right
goals and guardrails, and learning to put AI to use in service of those.
How do we build safety and accountability into algorithmic
incentives? How do we protect at-risk users—and all consumers—
from AI that exploits dark patterns or behavioral “hacks”?
R E I N F O R C E M E N T L E A R N I N G
A N D I N C E N T I V E S / O U T C O M E S
What are the ways we can protect against the weaponization
of AI in advertising tools and platforms used to amplify
misinformation, deep fakes, fraud, and abuse?
F R A U D & B A D A C T O R S
IMPLICATIONS FOR MARKETERS:
RESPONSIBLE AND ETHICAL AI
We have already applied AI to nearly half of all advertising without first agreeing on the proper safeguards
and principles to prevent abuse, unintended consequences, and repetition of the same mistakes from the past
10 years. Without proper thought to how we are incentivizing AI models, for example, those algorithms could
find that the most valuable sports-betting customers are those who visit gambling-addiction information
sites. Humans must remain in-the-loop as the architects and supervisors of these campaigns as we work
to answer certain vital questions on the future use of AI in advertising.
13
D I S C L O S U R E
How should disclosures about the use of AI in advertising
work? Should people be notified when they’re speaking or
chatting with an AI chatbot and not a human?
What are the minimum and optimal transparency
expectations for AI decision-making, and what is our
level of comfort for what remains hidden in the black
box of machine learning?
I N T E R P R E T A B I L I T Y
A N D E X P L A N A T I O N
APRIL 2022 • THE NEXT 10 I AR TI FI CI AL I NTELLI GENCE
15. GLOBAL DIRECTOR, BUSINESS INTELLIGENCE
KATE SCOTT-DAWKINS
AUTHOR
C O N T R I B U T O R S
BRIAN WIESER, GROUPM
ZOD FANG, GROUPM
ED FOSTER, GROUPM
KRYSTAL OLIVIERI, GROUPM
ANDREW RUEGGER, GROUPM
JEN SOCH, GROUPM
SUSAN SCHIEKOFER, GROUPM
MIKE FISHER, ESSENCE
SARA ROBERTSON, XAXIS
DONATUS NEMURA, FINECAST
KRISTIAN CLAXTON, FINECAST
KEITH KAPLAN, KINETIC
KATHRYN WEBB, WPP
14
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includes Data & Technology (Choreograph), Investment and
Services, all united in vision to shape
the next era of media where advertising works better for
people. By leveraging all the benefits of scale, the company
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for our clients wherever they do business.
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