Special Edition: 55 All-time Best Artificial Intelligence Quotes

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By Sudipto Ghosh On May 17, 2024

So, it was an action-filled week for AI trend-watchers around the world! The hype is getting real now. While the week buzzed with news related to OpenAI-Reddit partnership, new OpenAI features, and Google I/O announcements, we dug into our own content resources to analyze the GenAI roadmap for 2024-2025. After doing 100+ interviews and reviewing 5000+ articles and thought leadership articles in the last 18 months since ChatGPT3 launch, we decided to pull fifty-five all-time best artificial intelligence quotes* for your business. Here is a distilled snapshot of great quotes on artificial intelligence and machine learning from different industries.

#1 AI to fight threats

Speaker: Jeff DeVerter

“CIOs are increasingly expected to leverage AI to drive growth, innovation, and automation, while CISOs face new threats and must prioritize integrating security into AI development and deployment. Both roles require balance: CIOs must embrace AI without neglecting security and CISOs must prioritize security while simultaneously leveraging AI to fight threats.” [Source: CIO Influence]

Who is Jeff?

Jeff is the Chief Technical Evangelist at Rackspace Technology.

Jeff has 25 years of experience in IT and technology, and has worked at Rackspace Technology for over 10 years. Jeff is a proven strategic leader who has helped companies like American Express, Ralph Lauren, and Thompson Reuters create and execute against multi-year digital transformation strategies. C********* to know more about Jeff…

#2 AI can transform pebbles in the shoes to “bubbles” of joy!

Speaker: Dr. Adrienne Boissy

There is so much potential for what AI can bring to healthcare. Many IT leaders are focused on improving clinical efficiency and ambient listening, which is key.

What I’m focused on in the near term is how it can transform the pebbles (or boulders) in the shoe to bubbles of joy. The very real, day-to-day pain points, like websites that dead end, will become seamless and omnichannel access. Fragmented data will become connected and more meaningful.

But I want to dig deeper into our understanding of humans. Not feeling seen or known is a significant driver for the disengagement of patients and employees, and the costs are rising. I am fired up about predictive capabilities around experiences, immediate insights followed with personalized interventions, and a remembrance of identity and preferences that change how we make people feel.” [Source: AIThority.com]

Who is Dr. Adrienne?

Dr. Adrienne Boissy is the Chief Medical Officer of Qualtrics. She is responsible for shaping the patient and employee experience in the healthcare industry, including technology design, research, consulting, and innovation in experience management. Read this interview to know more about Dr. Adrienne.

#3 AI and CX-driven workflow automation

Speaker: Daniel O’Brien

“AI will make our interactions with XR technology easier and more natural. Working with virtual input methods like keyboards is tricky, with a learning curve. AI can help us more naturally interact in VR through speech and gestures, in a human-centric way. Soon, we’ll probably be able to speak things into existence – like virtual objects and worlds. This means that the advent of AI will make it much faster and easier for businesses to develop intuitive, customer-first workflows.” [Source: AIThority.com]

Who is Daniel?

Daniel O’Brien is the GM of Americas at HTC VIVE. He is a seasoned business and technology executive with over 20 years of experience delivering revenue growth, leading strategic business initiatives and partnerships, managing P&L, brand building, and maximizing operational excellence for extended reality (XR) and augmented reality (AR) technology companies. Read this interview to know more about Daniel and his work at HTC VIVE.

#4 AI performance and the curious gang

Speaker: Rita Kozlov

“Surging AI bills in 2024 will land on developers. As AI experimentation skyrockets, so do AI bills…

AI is still a fairly nascent technology — so our expectations are in line with that. But if AI is to become an integral part of our daily lives, performance is going to improve significantly and become a standard…” [Source: AiThority.com]

Who is Rita?

Rita Kozlov is the Sr. Director of Product for Cloudflare‘s developer platform, and AI initiatives. Read more about Rita’s work at Cloudflare, here.

#5 Time to get intuitive with Artificial Intelligence

Speaker: Steve Lucas

“AI, Analytics, and Data Management. The latter two points will always need a better mousetrap and the first point, Artificial Intelligence, will change the landscape of the next decade in ways we have yet to imagine!

Artificial intelligence, adaptive or intuitive technologies – however you want to refer to it – is already here, and it’s playing a big role in helping marketers listen, learn, and engage with their customers.” [Source]

Who is Steve Lucas?

Steve Lucas is a multi-time CEO with 27 years of leadership experience in enterprise software. He has held CEO and senior executive roles at some of the world’s leading cloud organizations, including Marketo, iCIMS, Adobe, SAP, Salesforce and BusinessObjects. Lucas led both Marketo and iCIMS’ growth and transformation as CEO, driving successful multi-billion-dollar acquisitions and billion-dollar strategic investments for both organizations. Read more about Steve here.

#6 The AI revolution is actually a data revolution

Speaker: Ryan Nichols

“The AI revolution is here, but at the foundation of the contact center transformation is really a data revolution. Industries like financial services need the infrastructure in place to ensure that their customer data can be the basis of next-generation AI experiences.” [Source]

Who is Ryan?

Ryan Nichols is the EVP & GM, Service Cloud at Salesforce.

#7 Employers should start investing in AI training

Speaker: Dr. Karin Kimbrough

“Conversations around AI aren’t just happening within one industry or organization — these conversations are top of mind across genders, generations, occupations, and industries…

In general, business owners, business leaders, and professionals at all levels should be developing their understanding of AI and embracing their AI literacy.” [Source]

Who is Dr. Karin?

Karin leads a team of economists and data scientists that delivers research and insights from the LinkedIn Economic Graph. She previously worked as assistant treasurer at Google and as managing director and head of macroeconomic policy at Bank of America. She also served as vice president in the Markets Group of the Federal Reserve Bank of New York during the financial crisis.

#8 AI-based training and learning programs boost career mobility

Speaker: Jenni Troutman

“Generative AI is here to stay, and that means organizations and individuals should be thinking and taking steps to hone their knowledge in this area now.” [Source]

Who is Jenni?

Jenni is Director of Training and Certification Products and Services at Amazon Web Services (AWS). In this role, Jenni leads the team delivering accessible, valued cloud skill development experiences for learners at all levels of proficiency. Jenni’s team’s mission is to inspire and empower learners to innovate and build with confidence with the AWS Cloud. Over the last five years, Jenni has helped learners gain access to a growing portfolio of cloud training through the introduction of free and low cost, self-paced, hands-on training, enabling people to learn anytime, anywhere. She is passionate about providing cloud learners the opportunity to build their careers.

#9 MarTech investments in AI through a CMO’s lens

Speaker: Jonaki Egenolf

“Generative AI accelerates processes but, like any tool, we need to remain aware of and resilient to the risks that it adds.” [Source: AiThority.com]

Who is Jonaki?

Jonaki Egenolf is the CMO at Snyk. She leads the marketing organization at Snyk. She has over 25 years of experience building and scaling go-to-market functions across demand, brand, and strategy for high growth technology companies. Read more about Jonaki’s CMO insights, here.

#10 Embrace AI to become more efficient

Speaker: Mika Yamamoto

“Artificial Intelligence and machine-learning is not something to be feared but to be embraced. AI can help to sort through data in a split second instead of taking hundreds of hours for you or me to do it. It’s designed to work with our teams to help them be more efficient and creative.” [Source]

Who is Mika?

Mika Yamamoto is currently the Chief Customer and Marketing Officer at Freshworks. Mika served as Global President of Marketo and then became SVP and General Manager of Marketo at Adobe after it was acquired. She previously served as Chief Digital Marketing Officer and CMO of SMB for SAP. In addition, she has held senior leadership roles at Amazon Books, Microsoft Windows and Microsoft Stores, Gartner and Accenture.

#11 Major challenges in the current AI ecosystem

Speaker: Natalie Schwartz

“A big challenge to the widespread adoption of AI is that the market for AI design tools is fragmented and complex. All of these different solutions exist across various products and ecosystems, requiring users to switch tabs or pay for multiple subscriptions.” [Source]

Who is Nathalie?

Natalie Schwartz is the Head of Brand Marketing and Strategic Partnerships team at Canva and is responsible for driving growth and love for Canva‘s brand globally. She oversees campaigns, events and partnerships that demonstrate the value of Canva‘s visual suite and showcase how Canva can be the home for every brand. She is passionate about bringing heart to technology organizations and the importance of brand in driving long term and sustainable value. Read more about Canva here.

#12 Having the most sophisticated 9AI) algorithms is not sufficient

Speaker: Brad Anderson

“Investing in AI is no longer optional. As the scale of business continues to grow, it is exceedingly difficult or arguably impossible to manage experiences with sheer manual human horsepower.” [Source]

Who is Brad?

Brad Anderson is President of Products and Engineering, responsible for defining, crafting and supporting the Qualtrics Experience Management solutions. He was one of the keynote speakers at the recently concluded X4 Summit where he announced new Qualtrics AI solutions for CX, EX, and Market and Strategy.

#13 The Birth of the AI Technology Leader (AITL) in healthcare

Speaker: Dr. Yan Chow

“AI development and implementation can be costly in terms of financial, infrastructure, and people investments…

To ensure success, the AITL must collaborate with business or clinical colleagues within resource constraints, select appropriate technologies, develop customized algorithms, and integrate AI solutions into existing workflows.” [Source]

Who is Dr. Yan?

Dr. Yan Chow is a global healthcare industry leader and strategist for Automation Anywhere. Read more about his work here.

#14 Inclusivity and Fairness in AI Development

Speaker: Jim Kaskade

“Making AI innovations more inclusive and equitable is an important issue for the entire industry… With generative AI, we have to remove biases that naturally impact equity and inclusion. We recognize that the data we use to train our AI models can introduce biases, fake news and even hate speech, which can perpetuate inequities.” [Source]

Who is Jim?

Jim is currently lead Conversica, a PE-backed category creator and leader in AI-enabled augmented workforce solutions. Prior, I led Janrain, PE-backed category creator of Consumer Identity & Access Management (CIAM) & acquired by Akamai.

Jim’s bio.

#15 Data governance: A critical challenge impeding the growth and distribution of AI in marketing and customer experience management

Speaker: Sumeet Arora

“As the impact of AI continues to surge in business and society, various ethical issues arise from more complex use cases. Proper data governance frameworks, tools to expose bias, and factors in transparency will be needed to stay compliant with legal and social structures.” [Source]

Who is Sumeet?

Sumeet Arora is the Chief Development Officer at ThoughtSpot.

#16 AI officers and their Gen AI approach

Speaker: Bill McLane

“There are a lot of different approaches and concepts that are being presented in generative AI, so it is vital that AI officers provide a simplified approach that showcases the different components that a developer may need to scale beyond their application.” [Source: CIO Influence Interview]

Who is Bill?

Bill is the CTO Cloud, DataStax.

#17 Advancements in Generative AI will drive ambient computing

Speaker: Arthur Hu

“The difference between organizations that succeed deriving value out of AI and those that don’t is that they fully grasp the new technology paradigm change in transitioning from analytical AI to generative AI for the purposes of security and compliance implications. They understand that data can show up in unexpected places depending on how it’s used in training a model.” [Source]

Who is Art?

Art is an SVP, CIO & CTO, Services & Solutions Group at Lenovo.

As Lenovo’s Global CIO, Mr. Hu leads the enterprise-wide IT organization that is driving the technology-enabled transformation of Lenovo. Under his direction, Lenovo’s IT team has emerged as a strategic partner to the business groups, focusing on innovation, business value, and customer experience.

#18 AI to detect cyberthreats

Speaker: Karl Mattson

“AI can help overburdened teams automate API security detection and remediation efforts, including identifying abnormal behavior, suspicious API traffic, or usage patterns that may indicate insider threats or fraudulent activities.” [Source]

Who is Karl?

Karl is a cybersecurity leader and innovator who serves as the CISO for Noname Security. He has over 25 years experience leading innovative and diverse teams of technology and security professionals in financial services, retail and federal government. Previously, Karl served as the Chief Information Security Officer (CISO) for PennyMac Financial Services and City National Bank. He has a track record of providing CEOs, CTO and investors in cybersecurity on strategies for product, market and customer success.

#19 AI for delivering immersive experiences

Speaker: Elliott Jobe

“In the immersive content landscape, I think AI has the ability to improve the human experience. Immersive experiences can be customized to the user with AI-powered personalization, making the experience more interesting and memorable. The immersive experience can be improved by using AI to help develop virtual environments that are more engaging and lifelike.” [Source]

Who is Elliott?

Elliott Jobe is the chief innovation officer and co-founder of Infinite Reality, Inc. (iR), the Metaverse Innovation and Entertainment Company established at the beginning of 2022.

#20 RPA-assisted customer service plan better than human-only efforts

Speaker: Brad Beumer

“With AI-powered automation, companies can put customer satisfaction first and ensure that client issues are treated more accurately and quickly, and that they receive a consistent, streamlined, and personalized experience.” [Source]

Who is Brad?

Brad is the CX and Contact Center Lead, Americas – UiPath. The AI-powered UiPath Business Automation Platform combines the leading robotic process automation (RPA) solution with a full suite of capabilities to understand, automate, and operate end-to-end processes, offering unprecedented time-to-value.

#21 Address Privacy and Ethics Before Developing AI Engines

Speaker: Kazuhiro “Kazu” Gomi

“The ongoing dialogue regarding AI’s potential impact on society, culture, and economics is only in its nascent stages… In the coming years, we will witness a surge in more powerful, energy-efficient AI technology. This advancement will enable us to shift computational tasks to sensors at the network’s edge, facilitating rapid intelligent analytics while significantly reducing energy consumption.” [Source]

Who is Kazu?

Kazuhiro “Kazu” Gomi is the president and CEO of NTT Research Inc. Mr. Gomi has held several key roles within NTT, including VP in charge of global IP-network business, and president and CEO of NTT America Inc.

#22 The AI Revolution: Time to Go All-In

Author: Eric Vaughan, CEO at IgniteTech

“AI is the great equalizer, potentially breaking down barriers and lifting entire organizations. But, to harness this potential, leaders must empower every employee in every role to leverage AI to work smarter and faster.” [Source]

#23 Harnessing the Power of AI in Building Connected Enterprises

Author: Sateesh Seetharamiah, CEO of Infosys subsidiary, EdgeVerve

“AI is consistently transforming industries. Matching AI’s pace ensures robust growth and augmented shareholder value. Failing to do so, however, risks stagnation. The performance gap AI widens is undeniable…

Establishing a robust data infrastructure capable of permeating existing silos is essential. This endeavor is where AI can play a pivotal role, through the initiation of integrated data links.” [Source]

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Author: Jen Snell

“AI enables us to push and pull conversational data to match user intent with the right outcomes and opportunities. This moves the needle from listening to understanding to action.”[Source]

#25 Artificial Intelligence: Marketing’s New Ally

Author: Michelle Huff

“Customers engage with businesses across a variety of digital touch points (websites, social media, etc.), on multiple mobile devices. They expect a more customized experience throughout…

That’s what makes artificial intelligence and machine learning so compelling to the modern marketer, and why we’re likely to only see more of it in the technologies marketers leverage.” [Source]

#26 AI + Humans Is the Perfect Recipe for B2B Growth

Author: Amit Rai

“One of the most valuable things AI can provide your sales team with is the insight into who is actively in market right now or their intent to buy. AI can be used to uncover intent by powering through all the data signals from companies, including whether decision makers within a company are researching your product or even a competitor’s.” [Source]

#27 Generative AI Inside Programmable NFTs Is New

Author: Dr. Allen Yang

“The ultimate NFT utility may be the capacity to tokenize intelligence in a decentralized and immutable fashion.

Fusing NFT art and programming code in a self-contained way is a significant development.

Programmable NFTs can be leveraged for work and play, shared on today’s social media platforms (Web2) and even serve as the building blocks of a kind of “app store” for Web3 and a more decentralized economy, comparable to today’s mobile phone apps. Additionally, the use cases in everyone’s mind involve generative AI technologies.” [Source]

#28 The Important Role of Kubernetes Security in AI Development

Author: Jeff Broth

“Artificial intelligence and Kubernetes security are related because of several factors, but the key connection is the growing adoption of containerization in software development. AI developers package AI models and their dependencies to make them portable and reproducible.” [Source]

#29 In 2024 AI Is Not Our Deus Ex Machina

Author: Brett Weigl

“The rapid advancement of AI accelerates the likelihood for customer trust and security to be disrupted. Businesses will need to focus on implementing authentication technology to address these risks, so their customers are protected and not easily exploited.” [Source]

#30 The adoption of AI is not just a technological evolution

Author: Jim Kean

“The use of large language models (LLMs), advanced artificial intelligence (AI) systems designed to understand large amounts of data and generate human-like responses, represents a strategic solution for efficiently navigating the vast landscape of scientific literature.” [Source]

#31 Emergence of Equal or Better than GPT-4 Open Source LLMs

Author: Philipp Heltewig, Cognigy’s CEO and cofounder

“While today’s focus is on the never seen before abilities of GPT-4, we will ultimately see a proliferation of diverse and specialized LLMs. This may include open-source models, AI as a Service companies, proprietary LLMs, and ones fine-tuned for specific tasks.

Specialized LLMs will lead to better results and lower costs, not to mention a reduced energy footprint compared to today’s energy-intensive training and inference requirements.” [Source]

#32 Enterprise and the Global AI Race

Author: Bob Griffin

“One of the main reasons for my enthusiasm is that a lot of the advances in Artificial Intelligence have come from areas where AI is best positioned to make significant impacts, specifically the field of staff augmentation. Meaning to help make someone better, faster, and more efficient at what they do. It is getting through trillions of records of disparate information in seconds to easily connect nonobvious relationships, amplifying weak signals and assisting what might be a more junior resource with institutional memory and skills, thus making them more senior.” [Source]

#33 The mistaken presumption that AI produces clean code

Author: Jim Ivers

“AI-generated code (and AI coding assistants) will revolutionize software development, becoming the fourth major component of software, alongside proprietary, third-party commercial, and open source components. However, since the LLMs powering AI coding assistants are trained on publicly available software (including open source software), organizations can’t assume that AI-generated code is perfect.” [Source]

#34 Conversational and Generative AI: Game Changer in Banking

Author: DK Sharma, Kore.ai

“For sectors such as banking and finance — where customer service is paramount — advanced AI solutions enable organizations to deliver experiences that matter… As banks look to the future, personalization is increasingly seen as a key differentiator. But, without an army of customer-facing staff on the high street to handle those interactions, only AI-powered technology can deliver such an experience at scale.” [Source]

#35 AI-Powered ‘Intelligent’ Marketing Will Keep It Real

Author: Tricia Heinrich

“Two discrete technologies in the AI realm do the heavy lifting to ensure that the right message is getting through and the right actions are taken. “Advisory” AI can help target customers and make recommendations (think ad re-targeting and Amazon’s recommendations engine), while “Autonomous” AI mimics human behavior to supplement the work of humans.” [Source]

#36 Employee Or Robot?

Author: Sage

“Artificial Intelligence based applications are not things that can be just ‘bolted on’ to your business. For them to truly provide you with accurate information, and efficiently perform the tasks they are designed to do, they need to be integrated with your existing technology, and the data sources need to be clean and accurate. I.e. the data you get out will only be as good as the data you put in. A.I. is not something to be feared either! It is not about replacing people, but helping support people with the mundane and repetitive processes, allowing you to spend time on more proactive and productive tasks.” [Source]

#37 There Can Be No Denying: Bots are Now Marketers

Author: Beerud Sheth

“AI-powered bots are bound to become the new marketer. In fact, chatbots enable conversational experiences that engage with customers without being intrusive. They are personal and fully understand a customer’s needs and preferences, and will build long-lasting relationships with customers by offering the right product to the right customer in the right way.” [Source]

#38 Evolve Your AI Strategy For Better Emergency Response Times

Author: Kalyn Sims, CTO – Hexagon’s Safety

“By amplifying technology with AI, emergency response departments can better safeguard the public, alleviate the significant stress first responders grapple with day in and day out, and do their jobs more efficiently. Technology and law enforcement agencies have long worked hand-in-hand together. For agencies today, it is a significant challenge to harness all disparate data flowing into their organizations. AI helps to sort through real-time data from incidents, IoT devices, and other sources. Because the AI is assistive, it mines the data and then alerts staff to trends and anomalies, leaving the decision-making up to humans.” [Source]

#39 How Industry-Specific Data for Businesses Can Unlock the True Power of Generative AI

Author: Philip Martyn, Marchex

“In this new era of increasingly democratized AI, the true worth of conversation analytics for businesses lies less in the sheer volume of data they can easily process, and more in the richness and applicability of the signals produced…

Custom AI models, built to recognize unique names and entities (such as vehicle makes and models), or trained to identify the presence of an opportunity for a location’s specialty service (oil change, new tire), can have a profound impact not just on a company’s bottom line, but on customer experience and reputation management, as well.” [Source]

#40 3 Key Trends for AI and Marketing in 2024

Author: Jas Singh, VP, AI Integrations & Emerging Tech at Merkle

“Adoption will go beyond the hype (already happening!)

Organizations will start to effectively leverage AI beyond the initial hype of ChatGPT. AI will enhance work processes and decision-making across all areas of a business, ranging from customer-facing operations to administrative tasks.

With so much to choose from, organizations will start small with AI implementation with specific use cases and areas where AI can provide the most value.” [Source]

#41 The Role of AI in Super-empowering Customer Service Agents

Author: Robert Mansfield

“As with other forms of AI, such as self-driving cars which so far have amounted to little more than advancements in intelligent cruise control, AI in the contact center isn’t set to remove the human element, but instead, help them to focus on it. Generative AI specifically is supercharging agents, equipping them with powerful tools that enhance their capabilities, and plays a role before, during, and after customer interactions.” [Source]

#42 The Evolving Face of Deep Fakes

Author: John Baird, CEO Vouched

“As deep fake technology advances and becomes more sophisticated, individuals must be made aware of its existence and the potential risks it poses. When individuals can recognize the signs of a deep fake or understand the risks associated with impersonations, they become more resilient against deceptive attempts.” [Source]

#43 5 Unintelligent AI Strategies to Ditch Immediately

Author: Robb Wilson

“Most organizations have realized that generative AI is coming in no matter what. It’s up to business leaders to decide whether it’s guided through the front door or sneaking in the back.

As a bolt-on tool, generative AI can do some pretty incredible things. It’s undeniably useful if your email client can summarize long messages, generate sample replies, and craft kick-off sentences to get your own writing started. And, bolt-on technology isn’t a viable strategy for creating these kinds of experiences.

They will require systemic change.

Enterprises will never be able to create and take part in these kinds of experiences with limited bolt-on point solutions.” [Source]

#44 Three Ways AI Is Changing the Private Equity Game

Author: Chandni Jain, Co-founder CEO, Auquan

“AI is giving PE firms the ability to bridge this information gap so they can gather the private company intelligence they need to move faster than their competitors — a critical factor in the private equity game.” [Source]

#45 How AI Black Box Models Are Impacting Advertising Returns

Author: Mathew Ratty, CEO of TrafficGuard

“For marketers, one of the biggest challenges is the ‘AI black box’, or lack of visibility over how exactly their AI solutions are making decisions to target and optimize. A challenge that is costing businesses through not only wasted ad spend and diminishing returns but also vulnerability to ad fraud.” [Source]

#46 “What Will Happen to All the Horses?” – Surviving the Coming AI Revolution

Author: Dan Donovan, CTO, The Mesmerise Group

“AI technologies, especially generative AI, are creating a plethora of opportunities. There is justification for substantial optimism if only because of the sheer scope of problems that AI can address. As Andrew Ng, cofounder and one-time head of Google Brain, famously said in 2017, “AI is the new electricity. Just as 100 years ago electricity transformed industry after industry, AI will now do the same.”” [Source]

#47 Is Generative AI’s Hallucination Problem Fixable?

Author: Brian Steele

“AI hallucinations will continue to pose problems for the foreseeable future. Generative AI hallucinations will continue to be a problem, especially for the largest, most ambitious LLM projects. Though we expect the hallucination problem to course correct in the years ahead, your organization can’t wait idly for that day to arrive.” [Source]

#48 AI Needs Regulation – But Let’s Not Repeat the Mistakes Made With Privacy Laws

Author: Tim Geenen

“As a society, it’s right that we should be concerned that technology giants and others develop AI responsibility. Those working with AI should welcome external regulation. As the legitimate concerns around AI’s potential impacts on society increase, governments around the world are looking at how they can best regulate AI without stifling its incredible potential.” [Source]

#49 Using Cloud and AI capabilities to build an agile Enterprise technology stack for its customers

Speaker: Sam Yoshida, EVP & GM of Canon USA

“Legal and healthcare are two key industries drawing our focus. We are seeing more organizations across these verticals invest in new tech and solutions, especially when it comes to AI, automation, and IoT.” [Source: Interview with Canon’s leadership]

#50 AI for Building Super-gaming Experiences

Speaker: Pete Wurman, Director at Sony AI America

“Building a superhuman agent was a way to find out how far we could push the technology. Now we’d like to focus on ways we can use the technology to make exciting races for players of all skill levels and help them become better racers. The potential of AI also extends beyond game play into the realm of game creation. Here the opportunity is immense from automated testing to asset creation to even game control.” [Source]

#51 Importance of technology in data and analytics journeys

Speaker: Chief Martech Scott Brinker, VP Platform Ecosystem at HubSpot

“Demand for both human and technology-driven experiences (using AI) is stronger and more complex than ever. For brands, it’s important to remember that while the customer journey has changed vastly over the last year and a half – with the number of digital channels available to engage with customers growing day by day – consumers still want a ‘human touch’ element as much online, as they do in-store.” [Source]

#52 Automation is one of state-of-the-art AI applications

Speaker: Robert Schena, CEO and Co-founder at Rajant

“Reliable access to real-time data is critical for AI and ML to be effective. Autonomy and robotics are just the beginning of the state-of-the-art AI applications Rajant can enable and develop for industries like healthcare, mining, energy, and public safety. We’re committed to applying our technology in ways that help our customers solve significant, complex challenges.” [Source]

#53 Where are we with the unsupervised machine learning algorithms?

Speaker: Jordan Suchow, Assistant Professor at Stevens Institute of Technology

“Unsupervised machine learning algorithms are old news and can be found everywhere; you interact with one every time you swipe your credit card: it’s a key method that underlies fraud prevention systems. Of course, just because it’s old news doesn’t also mean that it’s the future.” [Source]

#54 AI for data integration and intelligence; future of autoML augmentations

Speaker: Nelson Petracek, CTO at TIBCO Software

“I expect to see accelerated AutoML adoption. AutoML is driving the democratization of data science for business users and citizen data scientists, which is important as organizations look to enable more of their workforce to make smarter, faster decisions based on high quality data. However, AutoML is not enough, as it typically does not solve what I call the analytics pipeline “book-ends.”” [Source]

#55 AI integration with privacy enhancing technologies (PETs) for cross-media measurement

Speaker: Anthony Katsur, Chief Executive Officer at IAB Tech Lab

“Machine learning and AI as two very different disciplines, with the former being a subset of the latter. Machine learning has been part of the digital advertising industry for the past two decades since the early days of basic ad serving leading up to the most complex programmatic transactions. There are potential future roles for AI in ad operations automation, creative and content creation automation, and data security through federated learning to better protect consumer privacy in training future AI decision engines without touching the data.” [Source]