Quant Strats 2025 Blog

Take a look at the round-up of Quant Strats US 2024!

I am Citadel’s Head of Equities Engineering. In this role, I am responsible for frameworks and data solutions that serve Citadel’s Global Equities, Surveyor, Ashler, and International Equities businesses. I also lead Cloud and Platform Engineering, as well as Core Engineering, which together provide many of the firm's foundational technologies.

As a Director of Field Application Engineering for Supermicro, I manage East Coast Field Engineering, Solutions & Technology Enablement teams responsible for understanding large enterprise, Cloud GPU/AI, and service provider customer requirements for deployment of optimized solutions to meet customer needs. I travel often to drive strategic partner initiatives, customer satisfaction, and lead technology & roadmap discussions with leaders of organizations and strategic customers.  

Both in my current role, and when I was an industry analyst at Forrester Research, I advise companies on building their AI and ML capabilities and driving impact at scale using these technologies. I also host the Data Science Leaders podcast where I interview executives and other thought leaders on AI best practices, trends, and key topics, such as GenAI and Responsible AI.

Petter Kolm is a Professor at NYU Courant. In 2021, he received the "Quant of the Year" award from Portfolio Management Research (PMR) and the Journal of Portfolio Management (JPM) for his significant contributions to the field of quantitative portfolio theory. As a consultant and expert witness, Petter offers his expertise in areas such as machine learning, portfolio management, risk management, and trading. He has co-authored numerous articles and books on quantitative finance and financial data science.

Data abundance will continue to be an opportunity and a challenge. This trend will only increase now that we have powerful tools for generating content. What’s more, synthetically generated data will tend to reinforce the patterns that generated it in training new models, making realistic training and the prevention of hallucinations more complex. This is where you really need advanced techniques like Tensor Networks to eliminate redundancy and improve model performance. This also massively reduces training costs, which are set to become prohibitively expensive by 2026.

I run quant equities for both the US and Canada at Scotiabank. Our small and efficient team built a highly robust and fully automated systematic market-making, real-time risk management system within a very short timeframe through leveraging the best real-time technologies and time-proven risk management data/models. The system is serving on-demand liquidity requirements for North America clients with pricing transparency and operational efficiency.

I am the Head of Investments Data Science at T. Rowe Price, an active asset manager with over a trillion in assets under management. I joined a couple of years ago after spending time in passive asset management (BlackRock) as well as the sell side (Goldman Sachs), and the world of fintech start-ups.   

Gen.Ai will both seismically change the landscape and automate the ‘boring stuff.’ As we just discussed, our forecast for how it may impact PE investing includes both aspects. Ranging from revolutionizing the entire investment process via automation and data to automating the boring stuff, i.e. prepping for meetings, writing contracts, writing sourcing emails, and monitoring KPIs.

Take a look at the round-up of Quant Strats US 2023!

In 1979, Paul Volcker was named Fed chairman by President Jimmy Carter. Following his appointment, the Fed raised rates to over 20% in order to stem inflation. It led to a lot of disgruntlement at the time. But there are clear parallels with the problems that the U.S. economy is facing today.

Behaviourally, cognitively, reversible, mutually exclusive are some of the properties of “a questions game”. In a word, confusing, unless we know the nature of the source of the answer. Having said that, speculations, and curiosity about the limits of Chat GPT, conducted the sceptical to running all sorts of tests to check how well it performs with logico-mathematical, sematic, and ethical requests forgetting that it is not what is achieved but how it is achieved that matters. This how are the queries, to me semantic well-worded questions, which -by definition- require understanding and experience from both the meaning and the context.

I'm currently the Head of Quantitative Finance at CDD, where we are exploring new information sources for investors in pharmaceuticals and drug companies. I have a background in Quantitative Finance and trading, and specialise in Machine Learning, providing consulting services across a variety of industries, from finance to healthcare and manufacturing. In addition to this, I teach Machine Learning at a local university and have a keen interest in the use of Machine Learning to solve financial and economic problems. I am passionate about equipping people with the knowledge and tools to make informed decisions based on data.

My name is Dr Elliot Banks, and I’m the Chief Product Officer at BMLL, responsible for product development and product delivery, working closely with both clients and development teams to deliver BMLL's data and analytics to clients. Prior to that I was Chief Data Scientist at BMLL, leading a team of 10 responsible for the data science computing environment.

Founder and CEO of CloudQuant, a one-stop shop for all types of data, research insights, investment signals, and a full tech stack of solutions for coders and non-tech savvy users. I lead the research and sales efforts for CloudQuant.

“I am currently the Head of Customer Success at KX, where I'm working to continuously generate enterprise value for our customers with a skilled team of product adoption experts. I’m also fiercely passionate about mentorship. Previously, I had the good fortune of representing Ireland at the World Economic Forum Under 30 community and, more recently, was recognized at Irish America's Business 100 and Wall Street 50.”

My official title is Global Business Development Manager, but the role is more than that. I have 3 areas that I work on. First, I’m providing SME support to the teams in the field and directly to customers. My areas of expertise are Data Analytics/AI, Financial Trading/Quantitative trading, Utilities, Oil & Gas. 

Quant investing has had a good year. Trend-following hedge funds, which use mathematical models to try to predict market movements, have flourished in 2022.

Close to 22% of hedge funds worldwide now deploy quantitative investment strategies in their portfolios. So says SigTech’s 2021 annual Hedge Fund Research report.

If there is one certainty about cryptocurrencies, it’s their volatility.

Yet despite the industry being in its infancy and still evolving, interest in crypto as an asset class remains high.

The fact that it is now under such regulatory scrutiny indicates that its acceptance is growing. Lawmakers in the US and elsewhere in the world are currently pushing for better laws and guidelines to make cryptocurrency safer for investors. More regulation is likely to mean more stability and to encourage greater confidence.

Quant Strats 5 May 2022, New York, was a huge success. We had over 200+ attendees at the event, finally networking face-to-face after 2 years! There were incredible sessions covering Quantitative Data Strategies, AI, Machine Learning, and Alternative Assets. At Quant Strats, attendees had the opportunity to learn from 40+ top experts in the industry, with our star moderators guiding the sessions. Hear from the moderators, as we talk with them about their key takeaways and more...

Watch our closing panel from AI & Data Science in Trading (now known as Quant Strats), September 2021 'Building a collaborative team to utilise your data’s full potential'. Explore cultural approaches to become a more analytical-driven fund and building synergy between Portfolio Management and #data science teams to improve ROI. 

With more traditional methods of finding alpha proving to be more difficult, the hunt is hotting up. The result? It’s driving an increasing use of quant research techniques – among even traditional asset managers. Many are taking a more flexible and unconstrained approach. They're diversifying their return stream into strategies they believe offer better risk-reward profiles than traditional asset classes.

In investment terms, ESG is now unignorable. It’s an alpha driver. Just look at the latest report by the CFA Institute, the global professional organization for investment professionals. It shows that 100% of institutional investors and 77% of retail investors are either interested in or already using ESG (Environmental, Social and Governance) strategies.

Watch our panel 'Leveraging Advanced ML processes to extract valuable insight and increase ROI' from AI & Data Science in Trading (now known as Quant Strats), September 2021. Learn more about rationalising the resource spend of advanced ML practices, reinforcement learning, leveraging NLP and sentiment analysis for better investment decisions. 

"Sustainability-focused investors are at a turning point" says Peter Hafez, Chief Data Scientist at RavenPack. Read our exclusive interview, as he discusses the recent developments, alternative data, ESG and how it will change in the future. 

Don't miss this exclusive interview with Yesim Tokat-Acikel, Head of Multi-Asset, Research PGIM as she talks about data, looking into distinguishing what is truly innovative information and addresses the question of how big data will be used in the long term...

The ‘mind-reading’ powers of NLP (natural language processing) is proving to be a valuable addition to the strategic toolkit of the quant investment industry. NLP in its most basic form is a way for a computer to understand human language. But it now goes far beyond that into sentiment analysis, enabling firms to determine the emotional value of communications.

Is the pandemic-induced ‘quant winter’ over for the investment industry? Many hedge fund managers now seem to believe a ‘quant spring’ has returned … Quantitative investing, or systematic investing, encompasses a big variety of styles, markets and philosophies. But most involve adopting investment strategies that analyse historical quantitative data. But, however good that data, it’s impossible to predict the future. Which is why the last two pandemic-ridden years have been described as a ‘quant winter’ (or as Man Institute put it: ‘a mid-life crisis’) for many fund managers.

Carlos Gomez, Chief Investment Officer at Belobaba Crypto Asset Fund shares his top three priorties of the coming year and talks about the devasting situation in Ukraine and it's impact on crytoassets.

Will cryptocurrency replace cash? Is it the future of money? Will it supersede the dollar? Questions like these fill the pages of Reddit and Internet investor forums. The truth is, we don’t know, but we can measure some telling cryptocurrency trends that are happening in 2022. But one certainty is this: crypto is changing the world as we know it.

Watch our session ''Disruptive AI technologies for MBS markets'' from AI & Data Science in Trading (now known as Quant Strats), September 2021 with Kay Giesecke, Professor, from Stanford University. Watch as he explores deep learning, superior predictions for pool and cohort CPRs and performance-boosting edges for investors and dealers.

Watch our session 'Quant in Crypto Land' from AI & Data Science in Trading (now known as Quant Strats), from September 2021 as Jesus Rodriguez, CEO of IntoTheBlock discusses the challenges and opportunties of qaunt strategies in crypto and much more!

US markets flourished in 2021, buoyed by a strong economy that kept corporate profit growth, a major driver of stock price activity, moving in an upward direction. The barometer, the S&P 500, the measure of large US stock performance, gained an impressive 28.7%, with other parts of the market performing well too. Roll in 2022, and it’s a different picture in Democratic President Joe Biden’s US. The Financial Times reported in February: “The US stock market has suffered its worst start to the year since the global financial crisis, as the threat of rising interest rates, slowing corporate earnings growth and geopolitical tensions sent stocks tumbling across the board.”

Watch our star panel 'The Future of Alternative data - Innovative implementation of alt data in investment portfolios' from AI & Data Science in Trading from September 2021. Join the star speakers as they discuss understanding the biggest risks in investing in alternative data and where alt data has been used to drive efficiency and reduce cost and risk.

Watch our session 'Modern asset management - stock selection ion thhe age of AI and technology' from AI & Data Science in Trading (now known as Quant Strats), September 2021 with Dr Benjamin Moritz, Executive Partner, HQ Asset Management.

Watch our session, 'Accurately #forecasting equities using Swarm' with Louis Rosenberg, CEO and Chief Scientist, Unanimous AI Learn more about: Amplifying intelligence of human forecasters using Swarm AI Exploring academic studies that prove that Swarn AI enables more accurate forecasts

Today, hedge funds can – and do – base their investing strategies on the models and tools constructed by AI. There are already many examples of such models using AI as a helpful tool to improve investment intelligence that are outperforming more traditional investment methods. Perhaps the most well-known is Renaissance Technologies, one of the world's largest quant managers. The fund, with $165 billion in AUM, was launched in 1982. It has transformed its strategy through its use of AI, often eschewing recruitment of typical Wall Street types with financial backgrounds in favour of pure data scientists.

Interested in ML? Even if you missed AI & Data Science in Trading, September 2021, you can still learn how to use ML to estimate carbon emissions with Thibaut Heurtebize, Senior Research Analyst at BNP Paribas Asset Management. 

Watch our Panel: Evaluating efficacy of your datasets from multiple sources from AI & Data Science in Trading, Sepetember 2021. Join our star speakers as they discuss identifying how AI and alt data is being used to identify hidden opportunties in traditional ESG data, tailoring portfolios so clients can express their views through their investments, and looking at the reliability of data.

Watch this Keynote Panel: ESG and Sustainable Investing – Keeping up with clients’ demands from AI & Data Science in Trading, September 2021, and explore applying a quantitative approach to sustainable investing, identifying how AI and alt data is being used to identify hidden opportunities in traditional ESG data, and much more!

Last year, the global association of investment professionals, the CFA Institute, launched its first ever ‘Certificate in ESG Investing’. Its instigation is an indication of the priority ESG now holds for the future of investment.

Watch our top experts in our panel - from AI & Data Science in Trading September 2021 event - as they discuss, 'Building a Resilient Infrastructural data strategy to combat volatility in the market'. Topics include exploring cost-effective and scalable data warehousing options, identifying data providers to allow for smooth digital onboarding, and redefining your data strategy to aligh with new business objectives post-COVID. 

Investment firms often organise quant teams in ways that incompatible with the scientific method. Under the wrong organizational structure, quants are set for failure. In this talk, Marcos Lopez de Prado, Global Head Quantitative R&D, Abu Dhabi Investment Authority and Professor of Practice, Cornell University examine some of the organizational pitfalls that prevent quants from fulfilling their potential.

Watch our top experts in our panel - from AI & Data Science in Trading September 2021 event - as they discuss, 'Builidng and deploying ML at Scale'. Learn about organising your ML pipeline from research to deployment, the pitfalls and challenges in scaling up your ML and analytics function, and navigating the best way to organise the business to become a ML-focused organisation. 

Watch our live session from AI & Data Science in Trading, September 2021, on Multi-horizon forecasting for limit order books with Stefan Zohren, Research Fellow in ML in Finance, Oxford-Man Institute. Learn about adopting techniques from machine translation to build multi-horizon forecasting models for limit order book data, achieving comparable performance to state-of-the-art algorithms on short prediction horizons, experimenting with utilizing novel hardware (IPUs) specifically designed for machine intelligence workload, and leading to significantly faster training times. 

Advanced application of machine learning in trading is part of a trend driving an increasing number of capital markets firms to adopt ML and other AI techniques to build algorithmic trading systems that learn from data without relying on rules-based systems.

Digital transformation, data-driven cultures and a hybrid physical-virtual workforce ... These are all part of the changing face of the asset management industry. One of the big questions across the fund space today is this. How do you get the right talent with the right capabilities to re-invent this new future?

Keynote Fireside Chat with David Rukshin, CTO, WorldQuant from Quant Strats, New York, March 2021. During this session, WorldQuant’s David Rukshin will be talking with Bank of America’s Dr. Rajesh Krishnamachari about designing and scaling an efficient data strategy and platform, the opportunity for advanced technology such as AI and machine learning, and how these factors may continue to evolve in the future.

Watch this Panel: Portfolio managers’ panel from Quant Strats New York, March 2021, on the impact of data science to returning alpha and improving predictive accuracy by employing multiple models in your security selection process.

It is complicated! It is based on quantum physics and the fact that specific properties of particles can be in two states, or any combination of the two states, at the same time. Whereas traditional computers operate binary processing systems, based on 1 and 0s, quantum systems use ‘qubits’ that can be one and zero at the same time.

Watch the 'Panel: Journey of embedding quant methods within your fundamental approach for effective analysis' from Quant Strats New York, 15 - 16 March 2021. As they discuss instigating the integration of new technology into a traditional structure and building internal capabilities through investment in people and technology. 

Watch the session on the  'Commoditization of data engineering' from Quant Strats, 15 -16 March 2021. Discover the future for the commoditization of data engineering from Tom Taylor, Head of Alpha Technology, Man Numeric. 

Watch the 'Panel: Building an infrastructural data strategy' from AI Data Science in Trading, 15th - 16 th March 2021, on defining your data strategy and investing in the infrastructural elements to support it. Join the speakers from Atlas Ridge Capital, Nuveen, Quandl, and KX Systems. 

Watch our Panel: Navigating data challenges and common pitfalls with latest ML/AI Applications. Listen to the panel as they identify at what point human intervention is necessary. Join speakers from JP Morgan, BNP Paribus, OP Trust, NN Investment Partners, and Quoniam Asset Management. 

"If you had told me three years ago that we could manage $3 trillion from home, I wouldn't have believed you," said Richard Lacaille, the London-based global chief investment officer and executive vice president of State Street Global Advisors, recently. His comment shows clearly that within the asset and wealth management sector, post-pandemic, the workplace is no longer business as usual.

Just a few years ago, hedge fund managers were toiling over spreadsheets and being spoon-fed reports created by counterparties. Not any more. With the wealth of data at their fingertips, most are now tapping into multiple data sources to carry out analysis and develop synthetic benchmarks. Asset management firms are now increasingly turning to technology and investing in digital infrastructure and cloud-based systems to integrate multi-structured data sources.

Alt data has given the finance industry access to real-time data wealth that would have been unheard of even 10 years ago. But the clear alpha-generating benefits of this new eco-system have brought new ethics and privacy responsibilities for traders....

For anyone who was asleep in early 2021, this is what happened with the sleepy video-game US retailer GameStop... No one could have guessed that a floundering mall-strip video game retailer would be in the midst of a stock market frenzy that captivated the world.

Watch Peter Hafez, Chief Data Scientist at RavenPack session on 'Understanding risk through data mosaic', March 2021. Uncovering future sources of risk requires an understanding of how the world is connected through data

Watch our Panel: Data-informed insights; In-house vs outsourced explore when to use in-house AI services vs outsourced options and how to get better insights, reduce costs, improve security and transparency with Yevgeniy Vahlis, Head of AI Capabilities, Bank of Montreal; Nate Storch, CEO and CoFounder, Amenity Analytics; Petter Kolm, Professor of Mathematics, NYU Courant; Jonathan Kay, Founder and COO, Apptopia. 

As powerful as AI is, it doesn’t have a data conscience. Hedge funds have long been using computer models to make the majority of their trades. AI now offers asset and investment managers autonomous algorithms and systems, reducing use of data scientists to help with manual and moderating input. The ability to analyse large amounts of data at super-fast real-time speeds is a genuine gift...

Watch the session 'Modelling uncertainty with Bayesian ML' by Brandon Da Silva, Associate Portfolio Manager, OP Trust.

Watch the session 'Utilizing ML for prediction in private markets' with Francesco Filia, CEO and CIO, Fasanara Capital.

Watch this session with Adrian de Valois-Franklin, CEO,  and Dr. Alex Bogdan, Chief Scientific Officer, from Castle Ridge Asset Management talk about 'A New Approach to AI: How a Self-Evolving Market Neural Strategy Defended Against the Pandemic and Quant Crash' from March 2021. 

Watch the 'Panel: Utilizing advanced ML techniques - Reinforcement learning, NLP, Deep Learning' on how to personalise, maintain and monitor your models with speakers from the Bank of America, Eye Capital, MathWorks, Fidelity Investments, and Graphcore. 

Historically, investing has primarily rested on bedrock of numbers, such as stock prices and profits, revenues and research spending. Stock prices and profits, revenues and research spending … these have always been the foundational numbers of investing. But that’s changing.

Toby Dayton, President & CEO, Link Up shares his views of the biggest challenges for quantitative investors post COVID-19. Alongside this, sharing his opinions on how Biden's policies will affect capital markets in 2021.

AI specialist is the UK's top emerging job for 2021, reports LinkedIn research.

Data from the World Economic Forum shows that women fill a mere 22% of global AI jobs. The lion's share - the remaining 78% - are all occupied by men.

Yet, while it is true that women leaders in the technology industry are trailing their male counterparts – both in top-level presence and C-level roles – some shining stars are leading the way.

As a promising field of Artificial Intelligence (AI), Deep Learning (DL) models and applications have revolutionized the financial and banking domains. Still, many practitioners and academics agree on the fact that a more comprehensive insight and state-of-the-art review that could capture the relationships between typical DL models and the financial arena is needed.

Watch Fireside Chat: 'AI, Data Science and Financial Services – What's Next?' 

Watch the session featuring Sylvain Champonnois, Quantitative Researcher, CFM on The strategy for accumulating knowledge in ML and Data

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Watch the session featuring Eric Jensen, CTO & Co-Founder, Causality Link on 'Machine Learning and NLP for Long Term Investors'

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Watch the session featuring Marshall Alphonso, Senior Global Lead Engineer, MathWorks on 'Why Top Financial Institutions Fail at AI'

The ‘march of the machines’ means that AI is reshaping the world as we know it.

Artificial intelligence is transforming virtually every business process in every industry. And capital markets are no exception.

Dramatic as it may sound, gaining, sustaining or losing a momentum may shape the spiral of digital transformation in the financial arena. Unstructured data being the new oil is just the tip of the iceberg and DL aggressive strategical approaches is key to unlock a new set of opportunities in the search for true value when tailoring an organization’s response to crises, changing customer behaviour, and broader market conditions.

Sustainable and socially responsible investing may have once been seen as niche or a nice-to-have. But in 2021, it is clear that virtue (or ESG) makes sound investing sense. ESG is something investors can no longer afford to ignore, as reflected by the ever-expanding number of managed funds that now explicitly invest based on environmental, social and governance (ESG) criteria.

Watch the Fireside Chat with Mike Chen, Director of Portfolio Management and Sustainable Investing at PanAgora Asset Management and Peter Hafez, Chief Data Scientist at RavenPack on ‘Integrating Alpha into your ESG Portfolio’ at Quant Strats on March 2021.

Widespread adoption is necessary to be considered a long-term success and cryptocurrency isn’t there yet. But it’s moving in that direction.

With the advancement in Machine Learning, it is like being a kid in a candy store. But the wrappers are seductive and contain many surprise, making it a challenging landscape for managers to navigate. In this presentation, we hear from an industry veteran who brought AI to Wall Street, and is an advisor to the major consulting companies and FinTech player, and a pioneer of Machine Learning in Finance.

Watch the session featuring Vasant Dhar, Founder, SCT Capitol and Professor NYU on the opportunities and challenges within AI and Finance. 

Watch the panel moderated by Michael Steliaros, Global Head of Quantitative Execution Services, Goldman Sachs on the shifting attitudes towards alternative data.

Watch the session from Quant Strats, March 2021 on: 'Using AI Technology to Understand How Financial Decisions Are Made' with Naftali Cohen, VP and AI Research Lead, JP Morgan Chase & Co

There are two big reasons for the investment and financial markets sector to feel positive about the future. The first is the unprecedented explosion of alternative information offering exciting new opportunities to build into existing quantitative finance models to generate new alpha – that ‘secret sauce’ or highly prized extra value.

Watch the panel on: Determining the right combination of alternative datasets to manipulate to gain an edge. 

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Watch the panel discussion ‘AI, Data Science and Financial Services – What's Next?’ at Quant Strats, March 2021

Hoping your stock will turn into a Ponzi scheme isn’t trading, let alone investing, but there are plenty of amateur traders now willing to take a punt!

And the pandemic-spawned popularity of ‘retail trading’ as it is now known, has not gone unnoticed by the professional investing sector. 

Despite the global disruption that the pandemic wreaked, assets under management for the hedge fund industry are breaking new records.

Ahead is likely to be the acceleration of digital transformation trends as the industry becomes more automated in line with the COVID-19 economic recovery.

Watch the panel discussion ‘Adapting ML strategies before, during and after a pandemic’ at Quant Strats, March 2021.

Rebecca Kelly, Technical Evangelist at KX shares her thoughts on why flexibility and scalability are two important factors when it comes to data engineering for AI implementation.

We caught up with Suraj Gohil, Chief Strategy Officer and Co-founder at Fable Data to get his thoughts on the biggest challenges facing data scientists/AI experts/quantitative investors in 2021 post Covid-19 and Suraj shares his advice for funds hoping to get new systematic strategies into production quickly.

Stuart Kozola, Global Head of Finance at Mathworks shares his thoughts on the impact he thinks Biden’s presidency and policies will have on key issues affecting capital markets in 2021, addresses what he thinks fund and asset managers should be focusing on in 2021 and what he believes is happening within the alt data space as the way it is being sourced and consumed continues to change after the pandemic.

Armando Gonzalez, CEO and Co-Founder at RavenPack shares his thoughts on whether he believes ESG data can be used for as an alpha generation tool rather than just a risk management process and the changes that he has been noticing in how ESG data is being used.

Mohammed Shalaan, Chief Data Officer at Facteus, shares his advice to funds hoping to get new systematic strategies into production quickly and more often. Alongside what he considers are the biggest challenges facing data scientists/AI experts/quantitative investors in 2021 post Covid-19.

An everlasting debate: quant vs. fundamental philosophies. Traditionally, fundamental and quantitative investing was treated as two separate modes, epitomized by two iconic figures: Buffet and Simons.

Barry Hurewitz, Group Managing Director, Global Head of Evidence Lab Innovations at UBS Evidence Lab shares how UBS Evidence Lab have responded during this global pandemic and which datasets have now become most valuable for clients.

Javed Ahmed, Senior Data Scientist at Metis Corporate Training, shares his thoughts on the application of machine learning techniques with financial data, along with how you can overcome the challenges of implementing these complex approaches successfully.

Using it prudently can reduce risk, ensuring both good health and prosperity.

Paul Ross, SVP Marketing at Sentieo, shares his thoughts on the biggest challenges facing data scientists and quantitative investors in 2020/2021, the role of alt data in alpha generation and the biggest investment areas for Sentieo.

John Ashley is General Manager, Financial Services and Technology at NVIDIA - Here he answers our questions on the future of AI & the biggest challenges facing the industry.