AI News, 4 Technologies Driving Treasury Transformation artificial intelligence
Future CFO & Finance Summit
08:30 – 09:00 Registration & Welcome Refreshments
Finance role in leading the change in organization culture & employee engagement.
How to access and structure enormous data that didn’t exist before and make sense
CFOs to leverage ERP investments and take advantage of technology advancements
Driving business decisions with accounting of external economic factors •
11:00 - 11:20 Keynote presentation Topic - RPA & AI For The Future of Finance •
reliability and consistency of the finance function •
12:15 - 12:35 Keynote Presentation Topic - Cybersecurity: What the CFO needs to know •
12:40 - 13:20 Panel Discussion Topic - Trade Talks 2020 & Beyond •
Which macroeconomic factors are having the most significant impact on trade finance
13:45 - 14:05 Keynote Presentation Topic - Transaction Banking Evolution 2020 & Beyond •
What are the new technologies impacting and driving innovation in the digital banking
120 AI Predictions For 2020
Me: “Alexa, tell me what will happen in 2020.” Amazon AI: ”Here’s what I found on Wikipedia: The 2020 UEFA European Football Championship…[continues to read from Wikipedia]” Me: “Alexa, give me a prediction for 2020.” Amazon AI: “The universe has not revealed the answer to me.” Well, some slight improvement over last year’s responses, when Alexa’s answer to the first question was “Do you want to open ‘this day in history'?'
As for the universe, it is an open book for the 120 senior executives featured here, all involved with AI, delivering 2020 predictions for a wide range of topics: Autonomous vehicles, deepfakes, small data, voice and natural language processing, human and augmented intelligence, bias and explainability, edge and IoT processing, and many promising applications of artificial intelligence and machine learning technologies and tools.
The state of AI in 2020 “Vehicle AI is going to be designed to break the law: Autonomous Vehicles should not and cannot be designed to drive the speed limit (roads were designed with speeding factored in)—it will have to learn to go over the limit and match speeds of other drivers in order to be implemented wide-scale and keep other drivers safe.
Because such a transformation is critical to their survival, we’ll see increased emphasis and risk-taking on creating the customer experience of the future”—Liad Agmon, CEO, Dynamic Yield “Throughout 2020, expect to see the energy around artificial intelligence and machine learning (AI/ML) shift from research into engineering, bringing an increased focus on managing the AI/ML lifecycle in production.
Lastly, there will be an increased focus on monitoring AI/ML pipelines, which helps track the quality of prediction serving in production, as well as compares production workload traces to repeat the cycle of data prep and quality in the face of new evidence”—Joe Hellerstein, Co-Founder and CSO, Trifacta “As voice becomes more useful for consumers to quickly and easily do things with just a simple voice command, we’ll see the volume of voice queries explode.
Each of these queries represents a consumer intent, generally highly correlated with an action consumers want to take—add to my shopping cart, navigate to the nearest Starbucks, etc.—high value, transaction-oriented consumer intents.Any consumer-focused AI platform will need to be able to collect and analyze this massive volume of high value consumer touch points represented by voice commands”—John Foster, CEO, Aiqudo “In recent years, we have seen more and more countries developing national artificial intelligence strategies.
Voice will get better, we will find the right applications to deploy it and we will get used to using it, but for 2020, it’s not ready and narrow so don’t put all your eggs in that basket just yet”—Ryan Lester, Senior Director, Customer Engagement Technologies, LogMeIn 'Retailers will increasingly turn to AI as their main source of marketing insights as opposed to surveys and studies.
Radhika Dirks, CEO, XLabs “With AI actually baked into the chips themselves, a whole new era of computing at the source is being empowered—and we are only at the beginning.AI chips are already improving vehicles’ abilities to process visual data more efficiently, paving the way for autonomous vehicles of the future.
Conversely, the technology will need to understand when specific resources are no longer needed and safely turn them off to minimize costs”—Frank Jablonski, VP, Global Marketing, SIOS Technology “New advances in enterprise graphs and machine learning will enable context identification and content recommendation, helping information workers cope with information sprawl.
The ability to automatically and instantly collect data from across multiple channels, analyze it and provide actionable insight will enable support agents to more quickly, easily and accurately address customer inquiries and come to highly satisfactory issue resolution”—Anand Janefalkar, Founder and CEO, UJET “Because the supply chain industry has historically been slow to adopt when it comes to digitization, there simply hasn’t been enough collected data for AI/ML algorithms to make reliable suggestions.
As we start to see a more modern supply chain emerge in 2020, AI and ML algorithms will enable a 30,000-foot view of the supply chain and provide valuable insights to ease previously tedious processes like product redirects, new partner and supplier onboarding, order cancellations, oversupply and more”—Jorge Rodriguez, SVP of Product Development, Cleo “Enterprises will finally transition into deployingcomplexAI models inproductionatscale.
Object storage will be instrumental in helping to process AI and ML workloads in 2020 as this newer storage architecture leverages metadata in ways traditional file storage doesn’t”—Jon Toor, CMO,Cloudian “In 2020, AI will help to close gaps in merchant capabilities that many small businesses with limited resources face.
“5G, IoT integration and the associated ability to connect distributed and diverse data sources into a ‘systems of intelligence’ will drive huge AI opportunities in consumer and content management, network optimization and integration of an exploding number of sensor-based data sources.
From a consumer perspective, this trend will result in an IoT experience that’s faster, more reliable and more private'—Patrick Worfolk, CTO, Synaptics 'In 2020, enterprises looking to gain full visibility into their hybrid IT environments will require AIOps-based solutions that integrate infrastructure monitoring, workload automation and capacity planning into one platform.
As such, vendors who fail to adopt an AIOps model of service and enterprises who fail to invest in end-to-end infrastructure visibility will be unable to deliver on customer requirements and performance SLAs”—Philippe Vincent, CEO, Virtana “In 2020, we will start to see traditional Enterprise Content Management (ECM) platforms begin to focus on collaboration services to enable content accessibility to both internal and external business partners.
While traditionally ECM providers have focused on providing a repository of data and automation for a designated audience (business executives, customers, etc.), in the coming year we will see a major shift towards investment in AI and machine learning to improve workflow visualization”—ThomasPhelps, VP, Corporate Strategy and CIO,Laserfiche “Amid the past year’s severe weatherconditions and with climate change looming, farmers and agronomists are confronted with a number of formidable challenges.
Negotiations, for example, require intuition, confidence, and deal making experience that computers cannot replicate.Our belief is that we will need to continue to work towards finding that perfect balance between science and art in 2020”—Guy Zipori, Co-Founder and CEO, Skyline AI “It’s easier now than ever to do in-database indexing and analytics, and we have tools to make sure data can be moved to the right place.
Thanks to AI, employees will be able to expand and enhance their skill sets and ensure they stay relevant in a rapidly evolving market.Accountability, particularly with respect to explaining results and bias prevention, will continue to go hand-in-hand with AI's development”—Amichai Schreiber, Co-Founder and CTO, InnerMobility by Gloat “There is a fundamental shift occurring in the insurance industry: carriers know they need to significantly improve customer experience and ensure that their products are relevant and personalized.
Specifically, we will see the deployment of intelligent chatbots that will answer customer and vendor inquiries as well as intelligent software agents for invoice capture, cash application, exception or dispute handling, calculating customer credit risk and detecting fraud”—Vishal Awasthi, SVP of Technology and Products,Serrala “Empathy in the machine dialogue will become very important.
Data scientists will become an integral part of the product teams and work closely with them to create a data-first approach to app development, instead of focusing on making sense of data generated by apps”—Sanjay Jupudi, President, Qentelli “Natural Language Processing (NLP) combined with AI will increasingly make decisions that may be inscrutable to human observers, whether by analyzing stock data to make investment decisions, or parsing mountains of unstructured social media for broad sentiment analysis around a brand, or specific intelligence on who to target for which product pitch.
Every app will have to be re-engineered to be voice-first, just like we all became mobile-first a decade ago”—Tobias Dengel, CEO, WillowTree “Using the power of AI at the edge and self-learning models, in 2020, machine learning models can move beyond traditional analytics capabilities and significantly improve predictive functionality and overall ROI.
The organizations able to make that promise will provide AI and data solutions that gather data about users’ behavior and context, correlate users’ action with best outcomes, then teach users best-practices—and they’ll refine those practices with each and every user”—Jake Saper, Partner, Emergence Capital “In 2020, AI will play a much bigger role in driving two-way dialogue with data.
Whether being used to automate repetitive tasks (data prep, etc.) or connecting pipelines through contextual information from you and your peers, AI will begin to infiltrate all areas of business functions”—Laurent Bride, CTO and COO, Talend “In 2020, theTuringTest is passed emphatically, and the potent combination of video deepfakes and conversational chatbots give human-like AIs massive swagger.
Companies will look to uncover the valid and valuable use of AI in fact-based rationale, and the need to balance this with creating emotional bonds through human interactions'—Matt Matsui,Chief Product Officer, Calabrio “AI is fueling a paradigm shift in software and, more broadly, in how businesses across industries deliver digital experiences.Heading into 2020 and beyond, companies will become more forward-thinking by designing customer experiences with an ‘AI-first’ mindset—moving beyond automating tools for specific tasks, or adding ‘smart’ features to traditional software, but rather leveraging AI as a problem-solving partner”—Scott Prevost, Vice President of Engineering,AdobeSensei “We expect to see the use of AI accelerate in 2020, as companies increasingly use the data they collect to build and deploy AI models powering new services and generating new business insights.
In 2020, we expect data center owners and operators to increasingly focus on how they can deliver the performance their customers need for AI-enabled cloud services”—John Schmidt, VP, Cloud Hyperscale Solutions, CommScope “In 2020, the focus on analytics will be driven by increased regulatory and compliance pressures, risks from data breaches and ransomware, and the need to properly classify data for Artificial Intelligence and Machine Learning projects.Without ‘clean’ data of value, those AI and ML projects will stumble.
From an infrastructure perspective, that means gathering information across a multitude of systems and applying it to future needs by leveraging AI to adjust based on predictive behavior”—Jordan Owens, VP of architecture,Pexip “What the world is calling AI today will split into several areas in 2020, which someone in marketing will inevitably create pithier names for.
However, the biggest shift in the use of AI is expected to come from the collections industry as it looks to both catch up and automatically comply with ever-changing FCC regulations”—Jesse Bird, Co-Founder and CTO, TCN “With AI and data becoming centralized, manufacturers are forced to pay massive fees to top cloud providers to access data that is keeping systems up and running.
AI/ML will get closer to edge and IoT devices and will emerge as the best approach to creating a great application experience”—John DesJardins, VP of Solution Architecture and CTO, Hazelcast “AI techniques with which we are familiar today—such as neural networks, event clustering, and regression—will be joined by less familiar techniques such as topological data analysis (TDA) and generative neural nets.
AI will allow publishers to dynamically adjust demand sources—an act that has historically been performed by humans—and ultimately create a way to maximize revenue in real time”—Kurt Donnell, President, Freestar “While more companies will take an ‘AI First’ approach to their digital transformation projects, many will still struggle to operationalize AI, with the biggest challenges stemming from lack of trust and transparency in automated decisioning systems.
As the tools leveraged continue to be commoditized, it will enable more and more teams to utilize them, whether they are AI experts or not”—Tal Mor, CTO, Tremor Video “AI's expanded application, from machine-learning and reasoning (e.g., semantic targeting, 'you may also like') to consumer-facing, real-world uses (e.g., voice recognition, robotics) will increase tensions between tech innovation and consumer distrust with data collection and use.
Like the general public’s understanding of ‘the web’ in the 90s, awareness, understanding and trust in AI will gradually increase as the capabilities and use of the technology spreads”—Sheldon Fernandez, CEO, DarwinAI “Most people spend a significant amount of their time setting up meetings, preparing for meetings and getting IT equipment working.
Through AI we can now produce in a millisecond what in the past would have taken hours in a radio studio, and with advances in machine learning on the near horizon, it will only get better and faster in 2020”—Zack Zalon, Co-Founder and CEO, Super Hi-Fi “Synthetic media will continue to improve allowing us to see ourselves in any GIF or transform our voice for use anywhere but that will lead to increasingly authentic deepfakes that allow people to easily assume and manipulate personas, creating added stress to cybersecurity”—Fred Schonenberg, Founder, VentureFuel “AI will continue to provide a critical role in technology and marketing in 2020 and beyond.Leveraging AI and ML helps companies create more automation within their backend, ultimately helping to communicate more effectively with consumers.Being able to predict what a consumer wants and being able to serve them a custom experience (based on their interests/purchase patterns and history) will prove to be extremely valuable moving forward”—Chris Roebuck, Co-Founder and CEO, Clicktivated “In 2020 and beyond, instead of users seeking and trying to determine what to watch next themselves, built-in predictive technology will suggest what content to watch and when, according to your unique taste profile and viewing habits.
This is already beginning through methods such as neural architecture search and automated feature generation'—Shai Yanovski, VP of Data Science, Explorium “As the need for more—and better—AI outstrips the availability of highly-trained data scientists and engineers, companies will turn to technology, training, and education, leveling-up their existing teams and involving more previously unheard voices in the process.
Michael Feindt, Strategic Advisor and Founder of Blue Yonder, aJDAcompany “In 2020, more and more small business players will start proactively trying to adopt AI-powered technology but will be held back due to the prohibitive cost of available tools and a lack of understanding about ‘the machine.’ Software vendors that build AI in a way that’s easy to understand and affordable to the average business will see a huge advantage in gaining market share”—Tamara Grominsky, Director of Product Marketing, Unbounce “In 2020, the companies that are going to be successful in operationalizing machine learning as part of their mission-critical processes will break organizational silos to form multi-disciplinary teams.
With more conversations being successfully navigated by bots, brands will increase their usage in order to improve response times and drive greater contact center efficiencies”—Ido Bornstein-HaCohen, CEO, Conversocial “In 2020, we will see AR regarded as a business solution that solves problems across industries and changes the way businesses operate.
Now AI has advanced to the point that it can take into account all the factors that go into debt management to make personalized and actionable recommendations for consumers”—Adrian Nazari, Co-Founder and CEO, Credit Sesame “As a result of extensive data collection capabilities coupled with high powered accessible compute power, we’ll see AI and machine learning bolster manufacturing across numerous facets of the industry.
Secondarily, machine learning will vastly impact manufacturing efficiency to improve areas such as process control, error detection and demand anticipation, enabling more flexible supply chains”—Vicki Holt, CEO, Protolabs “There will be a groundswell from grassroots thought leaders and startups to make AI fair, accountable and transparent.
Mundane paperwork will be addressed with massive amounts of AI-based processes, while humans will be freed up to deliver a high-touch, personalized experience, offering policyholders emotional support after a traumatic event”—Githesh Ramamurthy, CEO,CCC Information Services “AI will be integrated seamlessly and gradually into our day-to-day work to make us more efficient and effective in our jobs.
this will be made possible through an increased understanding of user behavior and search patterns, allowing organizations to have a more in-depth view of user preferences and therefore deliver more human-centric experiences in real-time”—Phani Nagarjuna, Chief Analytics Officer, Sutherland “In the future, everyone is going to adopt some type of AI technology as it becomes more and more critical.
Machine and deep learning are making it possible forusers of complex B2B servicestodefineandmatch complex requirements to ideal trading partners (suppliers)through an intuitive, needs-identification processand a vast understanding of potential trading partner strengths and capabilities.User experience continues to improve as AI becomes better informed about individual preferences and company requirements with every interaction, especially intangible areas like organizational culture and values”—Keith Hausmann, Chief Revenue Officer, Globality “5G’s exceptional bandwidth and the applications that it enables, such as connected vehicles, will push a lot of the machine learning computation and model serving to the Telco Edge.
For HR leaders looking to better determine the attitudes that drive employee turnover and increase retention, using AI to provide insights into employee engagement will be crucial”—Steve Beauchamp, CEO, Paylocity “In 2020, AI will be used to help companies drive automation in their processes by doing work accurately enough to replace tasks previously completed only by humans.
AI is not likely ready to make final hiring selections, but it will significantly speed up many steps that are completed by recruiters today”—Adam Godson, Chief Technology and Product Innovation Officer, Cielo “In 2020, we expect AI to be used more frequently in the employment-based immigration space to provide attorneys, human resource leaders and foreign talent with a more seamless and less stressful immigration process.
As AI continues to play a major role in hiring, organizations must ensure their recruiting technology benefits individual candidates and adopts open standards that are transparent, verifiable, reproducible and publishable”—Eric Sydell, Ph.D., EVP of Innovation, Modern Hire “Higher education will continue to see the value of implementing AI-based solutions as we head into 2020.
- On 16. januar 2021
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