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Cleareye.ai and Surecomp partner to enhance AI powered trade finance automation

Cleareye Blog Banner, Title is "Cleareye.ai and Surecomp partner to enhance AI powered trade finance automation." New Partnership

New York, USA, April 16, 2024: Cleareye.ai today announced a strategic partnership with Surecomp, a leading provider of digital trade finance solutions providing automation of trade compliance and operations.  Both firms are acutely aware of the challenges faced by their customers engaged in complex and time-consuming cross-border trade. This is confounded by increasingly complex regulatory requirements such as the monitoring of trade-based money laundering (TBML) putting a strain on operational capacity and rising costs.  Offering comprehensive solutions to financial institutions worldwide, the new collaboration between Surecomp and Cleareye will specifically address the need for more streamlined and readily accessible data from within trade documents.  By intelligently automating the classification of trade documents and accurately extracting and validating their data, banks can enhance trade productivity and speed. This process helps reduce risks and ensures compliance through automated checks for trade-based money laundering (TBML) and other relevant red flags. Ultimately, it increases the banks’ ability to scale and manage growing volumes of trade efficiently. “This partnership is a significant step forward in our mission to revolutionize trade finance,” said Sarath Sasikumar, President & Co-Founder, Cleareye.ai. “By combining our expertise with Surecomp, we can provide financial institutions with a powerful and comprehensive solution that empowers them to navigate the complexities of trade finance with greater efficiency and confidence.” “Banks continuously need to stay ahead of the ever-changing patterns in illegal trade behaviour. Embedding AI-based compliance checks into the trade finance transaction is a prime use case for bringing artificial intelligence to banks’ day-to-day operations,” says Enno-Burghard Weitzel, Surecomp’s Chief Solutions Officer. “As we continue building our extended value to customers through strategic fintech partnerships, we are delighted to welcome Cleareye to RIVO.”

Streamlining Trade Finance Operations: Cleareye.ai Chooses Datavolo for Multimodal Data Pipelines

Cleareye Blog Banner, Title is " Streamlining Trade Finance Operations: Cleareye.ai Chooses Datavolo for Multimodal Data Pipelines."

In the ever-evolving landscape of trade finance, digitization and compliance automation are paramount for efficiency and regulatory adherence. Enter Cleareye.ai, a pioneering force in the industry. Their digital workbench, ClearTrade®, revolutionizes trade finance operations by digitizing vast volumes of data from trade finance documents and automating checks against industry requirements such as UCP, ISBP, URC, and URDG. Additionally, their Compliance module streamlines regulatory compliance checks by automating red flag and TBML assessments. To deploy their cutting-edge technology across diverse, highly regulated customer environments, including major cloud vendors like AWS, GCP, and Azure, as well as on-premises setups, Cleareye.ai sought an enterprise-grade solution for multi-modal data capture, transformation, and continuous delivery. Recognizing the critical nature of this requirement, Cleareye.ai turned to Datavolo, powered by Apache NiFi, as their data pipeline solution of choice. Datavolo‘s extensive expertise in managing unstructured data pipelines with Apache NiFi, coupled with its latest features tailored for modern data challenges, made it the obvious choice for Cleareye.ai. With Datavolo, Cleareye.ai gains a robust and flexible data pipeline solution that meets the stringent demands of the highly regulated trade finance industry. This strategic partnership underscores Cleareye.ai’s commitment to driving digital transformation and operational excellence in trade finance, setting a new standard for efficiency and compliance in the sector. “Choosing Datavolo was an easy choice as working with their team and technology was able to 10x the speed by which we deliver new features to our customers.” said Chandrasekhar, Chief Technology Officer of Cleareye.ai.  “We work with highly regulated customers, as does Datavolo, and that expertise is invaluable.” About Cleareye.ai Cleareye.ai is an advanced Artificial Intelligence & Machine Learning platform that enables banks to launch products at a rapid pace. Headquartered in California with offices in New York, Bahrain and India, the company aims to simplify banking. The platform leverages technology breakthroughs with a fully automated document processing layer, unified ML lifecycle management, data management, model governance and dynamic rules engine leveraging NLP. This will transform banks into hyper agile organizations, that customers want to bank with and deliver exceptional customer service, drive short term gains and long-term growth, and generate insights to sustain momentum at digital scale. Cleareye.ai was founded by leaders in global technology, representing decades of entrepreneurial and digital systems experience in banking.

Cleareye.ai Announces J.P. Morgan’s Compliance Go-Live on the ClearTrade® Platform

Cleareye Blog Banner, Title is "Cleareye.ai Announces J.P. Morgan’s Compliance Go-Live on the ClearTrade® Platform." Lock Icon

A Collaboration Yielding Results NEW YORK–(BUSINESS WIRE)–Building off the momentum of the strategic alliance announcement last September, Cleareye.ai has continued its collaboration with J.P.Morgan Trade and Working Capital, which went live with ClearTrade® Compliance module in January. ClearTrade® Compliance automates the identification of the high-risk characteristics of transactions and, in an automated manner, aids users in the assessment of red flags and red flag management. It comes pre-integrated with external data providers for Vessel and Container Tracking, Bill of Lading Validation, and the identification of military & dual-use goods. This reduces risks for banks and increases efficiency and organizational controls, allowing banks to uplift global markets to higher standards without the corresponding increase in cost. Check out the latest news about Cleareye.ai! #ClearTrade #TradeFinance #Compliance #RedFlagAutomation #TBMLTweet this ClearTrade® is a comprehensive trade finance software suite that future proofs the trade operations and technology of banks through its three-module offering of Digitization, Compliance and Auto Doc Exam. The ClearTrade® platform has allowed for faster and more accurate document handling. The platform’s powerful image processing and data extraction provides significantly higher accuracy and confidence, to the tune of over 90%. This eliminates manual processes and allows data injection into a bank’s back-office system, improving the operational efficiency and transaction turnaround time. Using the ClearTrade® platform, J.P.Morgan has accelerated its journey to future proof its trade finance operations, with plans to further uplift and roll out the platform globally. James Fraser, Global Head of Trade for JPMorgan Payments says: “As our industry continues to change moving beyond the COVID pandemic, we have even more reason to focus on the digitization of trade. Cleareye’s ClearTrade® platform offers customization to streamline the manual and paper-heavy processes associated with due diligence. The strategic alliance between both J.P. Morgan and Cleareye will allow Cleareye to bring automated straight through processing to banks across the globe.” Mariya George, CEO for Cleareye, states: “With our strategic alliance with J.P. Morgan, Cleareye is focused on revolutionizing the fintech and regtech markets. ClearTrade® not only helps streamline trade transactions, but also brings together data from global sources to enable banks make confident decisions for safe, efficient and lawful movement of trade, reducing Trade Based Money Laundering risk while meeting the changing regulatory needs.” For any inquiries regarding this announcement or Cleareye.ai’s strategic alliance with J.P.Morgan, please reach out to your Cleareye.ai sales representative for more information or visit our website www.cleareye.ai

Cleareye.ai Announces Strategic Alliance with J.P. Morgan

Cleareye Blog Banner, Title is "Cleareye.ai Announces Strategic Alliance with J.P. Morgan." Clear Trade Logo

Collaboration that is set to transform Trade Finance operations NEW YORK–(BUSINESS WIRE)–Cleareye.ai announces a new global strategic alliance with J.P. Morgan’s Trade and Working Capital group. The alliance leverages an industry-leading digital solution, ClearTrade, to solve both the challenges Trade Finance operations face today and tomorrow. Through significant advances in technology, the ClearTrade platform streamlines the onerous due diligence processing associated with Trade Finance transactions and the multitude of physical documents that are still prevalent in the industry today. “J.P. Morgan maintains a gold standard for digital innovation while ensuring regulatory needs are met, and we are very excited about the ClearTrade implementation and go-live. This also reinforces the strategic alliance between our firms and the vision to digitize trade operations for banks across the globe.”Tweet this Trade Finance is an industry going through a digital transformation. The ClearTrade solution offers a revolutionary change for banks to ensure they can continue to operate in this evolving landscape plagued with a significantly increasing cost base. Over the past year, ClearTrade has been integrated into J.P. Morgan’s Trade Processing System and is now live supporting transactions in the APAC region, with a global rollout planned over the coming quarters. Through this initiative, J.P. Morgan will be able to further leverage the digitizing of documents using powerful image processing solutions with the ability to extract, validate and accurately classify unstructured data. This level of digitization allows for: Cleareye firmly believes that the ClearTrade solution has the capability to increase Trade Finance operations productivity by up to 70%. Through the automated examination of thousands of trade presentations, including both industry common and non-standard document types, the solution has demonstrated up to 9x increase in trade velocity, significant reduction in document checking errors, greater than 85% accuracy standards and up to 80% reduction in E2E processing time. Stuart Roberts, Global Head of Trade & Working Capital for J.P. Morgan says: “Digitizing trade finance documentation has the ability to provide real benefits to J.P. Morgan and our clients. Banks have grappled to solve the puzzle of paper and manual data entry in this business for many years and our alliance with Cleareye is taking meaningful steps towards solving the problem. The ClearTrade platform also helps us to accelerate and future-proof our clients’ business while reinvesting savings into enhancing controls and risk management.” Mariya George, CEO and Co-founder for Cleareye, states: “J.P. Morgan maintains a gold standard for digital innovation while ensuring regulatory needs are met, and we are very excited about the ClearTrade implementation and go-live. This also reinforces the strategic alliance between our firms and the vision to digitize trade operations for banks across the globe.” About Cleareye.ai  Cleareye.ai is an advanced Artificial Intelligence & Machine Learning platform that enables banks to launch products at a rapid pace. Headquartered in California with offices in New York, Bahrain and India, the company aims to simplify banking. The platform leverages technology breakthroughs with a fully automated document processing layer, unified ML lifecycle management, data management, model governance and dynamic rules engine leveraging NLP. This will transform banks into hyper-agile organizations, that customers want to bank with and deliver exceptional customer service, drive short-term gains and long-term growth, and generate insights to sustain momentum at a digital scale. Cleareye.ai was founded by leaders in global technology, representing decades of entrepreneurial and digital systems experience in banking. For more information, visit www.cleareye.ai Learn More

J. P. Morgan teams up with Cleareye.ai for Digitising Trade Finance Solution

Cleareye Blog Banner, Title is "JP Morgan teams up with Cleareye.ai for digitising trade finance solution." J P Morgan Chase & Co Logo

J. P. Morgan has announced their partnership with Cleareye.ai to bring ClearTrade®, a trade financing digitising solution, to banks. The platform will be integrated into JP Morgan’s Trade Processing System that has rolled out in the APAC region and will be launched globally in the coming months. Global head of trade at JP Morgan, Stuart Roberts, and CEO of Cleareye.ai, Mariya George discuss how ClearTrade® aims to make trade operations and compliance easier and more efficient for banks. Digitisation has been a weighty discussion in trade finance for years, Roberts explains that JP Morgan’s path towards the solution involved challenging multiple tech providers and spending long hours developing a rules-based algorithm. “If you think about the algorithmic rules, and start out with the five hundred rules that we need to make sure we capture, we then need to expand that across a complete set of documents and potential variables around it. You are looking at hundreds of thousands of potential outcomes. The machine needs to quickly go through that to be able to come to the right conclusion,” details Roberts. “That technology, even though it has been talked about by various participants over time, we haven’t seen a material proposition – until Cleareye.ai.” George expounded on how ClearTrade® works as a Trade finance operations and compliance automation product: “There are paper documents moving between banks, shippers, and exporters. What we try to focus on is the ability to automate ingesting these paper documents and understanding industry documents. “There are rules and regulations that trade has to adhere to in order to check against all those regulations, understand if there are any potential red flags, any sanctioned entities, any compliance related issues. ClearTrade® can highlight all that and generate a report to make it easier for a trade operations person to do their job.” ClearTrade® provides a solution to the gap in trades operations people who manually manage hundreds of pages of documents that newcomers to the industry do not want to participate in. George explains that banks are in a way being forced into automation due to this gap in the industry. More importantly, she adds, is that trade finance needs to be adopted at the same speed as regulatory demands and sanctions are imposed, and it is imperative that the sector adapts to that. Roberts adds that banks may find it difficult to comply with incoming regulations without new technology to match their needs. In the current geopolitical climate, new sanctions are constantly being imposed, costs are increasing, and people in trade offices need help to keep up. George and Roberts believe that ClearTrade® offers a solution to those processes. George expands on the solutions provided by the platform: “People are manually going through assets in many of the banks today. It’s very human-centric; people can make mistakes. When a system is doing it, everything is auditable, everything is traceable, every transaction is monitored. We have a full audit log and history of everything that has happened, so it’s even more robust than how it would have been with a human doing it. This also helps from a regulator’s point of view.” JP Morgan receives nearly 4 million individual documents into their offices that, while digitised, still require human involvement; ClearTrade® provides the ability to cut the three hours it takes humans to review those documents down to around ten minutes. Roberts explains that this process opens up a whole suite of new features, such as identifying trends in fraud, trade-based money laundering, workflow examination, and collectively building a compliance module. Roberts believes that the solution will improve the efficacy of trade services that will allow for more banks to stay in the sector for longer than they would have otherwise been able to without ClearTrade®. He continues: “With this partnership, commercial framework, deployment, and then a rollout across all of our global sites, ClearTrade®is going to massively improve efficiency within JP Morgan. But more importantly, I think it has the potential to become an industry benchmark.” Speaking on the future evolution of trade services in the process of examining documents and dealing with letters of credit and collections, Roberts details: “I think the technology aspect of trade services will go through platform realisation around one or two industry wide standards. That will then create the economies of scale and allow for banks to join on an OpEx basis rather than a CapEx basis.” “Our intent with this first step with Mariya and ClearTrade® is to build that industry platform. The first and most difficult piece is the rules-based, efficient doc exam engine and compliance module. From there, the challenge is how we take JP Morgan’s trade platform itself and make it cloud native and able to be used as an industry wide platform through ClearTrade®.” Roberts expresses that the most difficult aspect of perfecting ClearTrade® was achieving a robust, high-level, automated, straight through processing platform with correct workflow and positive outcomes. He states that Cleareye.ai’s technology stood out in their machine’s ability to learn from prior mistakes and improve to hit higher efficiency ratios. Roberts concludes: “ClearTrade® should be the first solution where you see an absolutely seamless solution end to end from OCR all the way through to doc exam, to compliance check, vessel checking, military use policies, and then ultimately, a state of the art trade platform for all of our clients.” Learn More

SalesTechStar Interview with Mariya George, Co-Founder and President at cleareye.ai

Cleareye Blog Banner, Title is "SalesTechStar Interview with Mariya George, CEO & Co-founder, Cleareye."

Hi Mariya, welcome to this chat! Tell us about your journey through the years…we’d love to hear about the story behind cleareye.ai… I was born into a business family in the southern tip of India – Kerala, which is also known as Gods Own Country. I am a Computer Science engineer by training and started programming from my early days, but my passion was business development and discovering new opportunities. I was fortunate to work with Fortune 500 and Global 1000 companies my entire career, and I was always on the “selling” side vs the “buying” side. This helped me understand my clients, especially in the Banking and Financial services segment, and what they are really looking for versus what is often said.Coming from a business family, entrepreneurship was engraved into me and was my passion. I always wanted to build a business leveraging my learnings over the last two decades. In early 2019, the passion became real. I had the opportunity to raise seed funding and launch cleareye.ai. Read More : KnowBe4’s Global Cybersecurity Experts Make Predictions For 2021 Cyber Trends Banking is one of the most regulated industries and yet artificial intelligence (AI) is expected to permanently change the industry in profound ways, especially now, having been accelerated by the COVID-19 pandemic. Banks seek to gain a competitive edge on their peers by leveraging technology to achieve efficiencies in speed, cost, accuracy, and efficiency, as well as meet the changing customer needs. Banks are reinventing themselves as technology companies as much as financial institutions. This requires banks to have the ability to launch products faster to market, from the front office to the back office, without having to depend on fintechs.cleareye.ai is a game-changing, advanced AI and machine learning platform that enables banks to launch tailored products at a rapid pace. How are you seeing technology / supporting tech demands for fintechs, banks and financial institutes change over time? How has the pandemic influenced this? Artificial intelligence is no longer a buzz word and is integral to the world we live in, and banks and financial institutions are deploying these technologies at scale to remain relevant. Banks are looking for the machines to replicate, and often exceed, what humans do.AI engines are using a suite of technologies, enabled by adaptive predictive power, and some degree of autonomous learning, to recognize irregularities in data, identify a whole host of patterns, become more adept at predicting activities and decision making that will ultimately make banks more efficient. AI is enabling banks and financial institutions to drive new efficiencies and deliver new kinds of value across Deposits & Lending, Capital Markets, Payments, and Investment Management. As a result, this is creating paradigm shifts in the financial ecosystem by: These shifts started before the pandemic, however, it is naïve to think the pandemic didn’t expedite the transformation. From your experience, what are some essential sales skills to be a successful entrepreneur? I think the number one sales skill an entrepreneur needs to be successful is Emotional Intelligence. Business leaders should understand the significance of emotional intelligence in driving business decisions. Not only should leaders have high EQ, but they should enable their teams to disarm affect-driven bias, identify those with lower EQ and help understand the root cause(s) of the emotions that are impacting their decision-making capabilities. Jeb Blount’s Sales EQ is a great reference to understand how ultra-high performers leverages sales specific EQ to close complex deals and how to differentiate yourself from competition and hold the short-lived attention span of distracted buyers!The second most important quality for an entrepreneur is the Sense of Urgency. As John Kotter has elegantly quoted in his book “A Sense of Urgency”, it’s a distinctive attitude and gut level feeling that lead people to grab opportunities and avoid hazards, to make something important happen today, and constantly shed low-priority activities to move faster and smarter, now.The third principle I go by is Lead by deadline, while putting your customer at the center. This means starting where you can and not waiting for the perfect opportunity. Take advantage of every opportunity NOW. Take necessary risks and settle conflicts immediately. Listen to your customers and show your team that there is no alternative to victory!And finally, any entrepreneur would know that all deals need to be negotiated as if your life depended on it! Chris Voss in his book “Never Split the Difference” talks about how life is a series of negotiations – how to beware of the “yes” and how to master the “no”, how to be persuasive with your clients, and how you can create the illusion of control. However, the most important aspect of all is guaranteeing execution. The product must deliver to the promise and follow throughs should be done. We’d love to hear more about cleareye.ai’s roadmap and sales direction / initiatives for the rest of 2021? Of the 8 billion people in the world, 1 billion do not even have a bank account. The large national banks are trying to solve this problem and make banking accessible to this segment through special offers. They are spending millions on technology and innovation. However, most of the people in the above category are not going to these big banks. They are going to their community banks. The community banks do not have the technology or dollars to spend like the large banks. But they want to solve this problem.This is where Cleareye’s mission comes in – we want to bring in technology to significantly improve financial inclusion. Our platform will help to simplify banking and enable banks to launch products faster, lower their cost of operations and help them move from cost-center to profit-center, be agile enough to exceed customer expectations and improve customer loyalty, making banking more accessible for the millions.cleareye.ai is a game-changing, advanced artificial intelligence (AI) and machine learning platform that enables banks to launch tailored products at a rapid pace. We focus on making AI usable and practical for applications across complex banking use cases with high success rate

Building the Team for Your Next AI Initiative

Cleareye Blog Banner, Title is "By failing to prepare, you are preparing to fail. - Benjamin Framklin." Building the team for your next AI initiative

The time to invest on a AL/ML initiative is now. Recent surveys indicate the pandemic has caused companies to invest in new AI initiatives. On the other hand studies indicates many enterprises still struggle to operationalize the AI initiatives they have started. Other than the data quality challenges, the one major reason for this struggle is most companies don’t have the right team composition or the right objectives set for the teams to take the models to production. Planning upfront for the right team composition with complementing skills and setting the objectives are critical for a successful rollout of an AI initiative and better ROI As a new AI initiative is kicked off, the first resources to come on board will be your data scientists / ML engineers along with the business teams to explain the data and the context. Most initiatives start small. The initial objective of this team will be to prove a hypothesis with a limited set of data to explore and build the initial models. The first challenge the team will face after the hypothesis validation is on how to train on a massive production data set. Now the data is no longer a CSV export, to which feature engineering can be applied, and models can be fit in a single machine. Data pipeline architectures to be defined for data delivery, and greater scalability. The infrastructure required for optimal extraction, transformation, and loading of data to be defined. Data pipelines ensure the right data is made available to the models. Parallel data processing and distributed training need to be addressed. You need the Data Engineer in your team to do the heavy lifting. Bring your Data Engineers to the team right from the beginning. Data engineering skills can effectively utilize the network, storage, and compute resources. The objective of any AI initiative is to optimize the business process as the inference from the models is used to drive decisions. As the case with any software development, modularity is important when deploying machine learning systems. Each task in the business process to be broken down and decided where to introduce the predictions (models). This will enable the team members to work efficiently on individual parts and also encourages reusability for future projects. Make sure you have Solution Architect to take up this responsibility of breaking down the modules, visualizing the information flow end to end and holds the vision of the end state architecture. Loosely Coupled Architecture lets the team work independently and deliver value. Solution Architects should ensure modularity in the ML systems. Solution architects work at the intersection of multiple disciplines and they have to be great communicators and with people skills. As with application development, ML initiatives are too governed with standard principles of operations, like versioning, automation, monitoring reproducibility, etc. In ML initiatives these principles have a different set of objectives. In S/W development, versioning is limited your code and scripts. For ML engagements along with your Code, Data and Model need to be versioned, monitored, reproducibility to be ensured, and ML-workflow steps are automated. Onboard MLOps engineer from get go to set the principles of operations. Data versioning includes your Data preparation pipelines, Features store, Datasets, Metadata. Model Versioning includes ML model training pipeline, ML model (object), Hyperparameters, Experiment tracking. Reproducibility to be ensured by MLOps team that the same ‘hyper tuning’ parameters are applied to your production models. Plan for the new monitoring needs. There will be data distribution changes (training vs. serving data), measuring the model drifting, computational performance of the model. ML initiatives involve a lot of experimentation and development. Plan for tracking, automating, and monitoring your experiments well ahead. Invest time on Governance and Security early in cycle QA engineers are usually seeded to the engagements. But the objectives and guidelines set for a QA Engineer on an AI initiative has to different from the typical application testing. As stated from ML-Ops.org, make sure to set your guidelines around tests for features and data, tests for model development, and tests for ML infrastructure. QA Engineers doesn’t need to be experts in algorithms. But it is important to understand feature importance and the correlation of features in the business context. Create test scenarios to measure the inference score while adding new features or dropping new features. Model metrics like RMSE are important, but QA Engineers plan to correlate with business metrics on the impact of a prediction, like % reduction in false positives, etc. Automated testing for end to end ML Pipeline to be planned as part of quality assurance. Discussed only about a few roles and objectives, but remember AI is a team sport, as quoted by Cassie Kozyrkov. There are other roles crucial for the successful role out, like your Decision makers, Product managers, Data Labelling team, UX Designers, etc. Will discuss these roles soonLearn More About the Author Chandrasekhar Somasekhar is the Chief Architect at cleareye.ai. He is responsible for product development, strategic technology direction, and implementing and governing solution architecture methodologies at cleareye.ai. Chandra defines and governs the enterprise solution architecture strategy. Additionally, he provides architectural direction. He is passionate about developing, mentoring, and motivating a high-performance team.

MarTech Series Interview with Sarath Sasikumar, Chief Operating Officer at Cleareye.ai

Cleareye Blog Banner, Title is "MarTech Series Interview with Sarath Sasikumar, Chief Operating Officer at Cleareye.ai."

Tell us a little about yourself Sarath…we’d love to hear about your role, a typical day at work?  Well, let me start by saying that I’m an entrepreneur first then a COO. Being an entrepreneur can give you joy and stress and anxiety at the same time. The most important part is the realization that it is an adventure, and you better buckle up for the unexpected. In my current role, I’m responsible for the company’s ecosystem strategy, global operations, talent management & other business enablement functions. I’m also the Chief Value Mentor, evangelizing a “Values & Culture First” mindset across the Company. The one thing which has remained unchanged throughout my career is the key values and culture I live every day which directly reflects in relationships with my colleagues, customers, partners and investors.We are a deep tech company in hyper-growth mode, and as a COO of the Company, it’s my responsibility to ensure that the entire company functions as one unit and delivers exponential value to our customers and investors. Like any other B2B startup at our stage, we also go through a series of challenges and bottlenecks in any number of areas — operations, finance, legal, talent, technology etc. The good news is that this is not our first rodeo. We didn’t start this fresh out of school. In my previous position, I was fortunate to play multiple roles starting with deep tech computer programmer, pre-sales, field sales, sales ops and finally directly working for the CEO of a multi-billion dollar digital company running programs that are very strategic in nature. The experience I gained is tremendous, and I’m able to successfully apply this at cleareye.ai.If you were to ask me about my top three priorities as a COO on any given day, I would say talent is number one, where I spend a disproportionate amount of time whether top-notch talent internally or externally. Partners and planning are my second and third priorities.  Our Partner ecosystem is very dear to me. I am passionate about building partnerships with entities that can jointly create unmatched value for our customers which otherwise would have been impossible to realize. And, regarding planning as my third priority,  one big learning lesson I carry from my past position is that nothing can beat planning. I make it a point to find “thinking and planning time” every day and plan moves accordingly. About 50% of the time things may not go as planned, but the very fact that I had that opportunity to plan ahead will enable me to activate plan B or C as context demands. That way I always have a strategy and chances are very small that something can take me by surprise. Marketing Technology News: MarTech Interview with Hunter Montgomery, Chief Marketing Officer at ChurnZero Can you take us through some of your biggest business enablement and strategy learnings through the years in tech?  While at UST, I had the opportunity to spend quality time to learn from Ram Charan, a world-renowned business advisor, author and speaker who has spent the past 40 years working with many top companies, CEOs, and boards of our time. I consider the learnings and insights gained from those sessions with Ram very foundational to how I approach business today.I consider the ability to deal with uncertainty is perhaps the paramount skill leaders must have to be successful in this age. This is particularly important when you play the role that of a COO. I am referring to uncertainties beyond operational uncertainties. As I mentioned earlier a key part of the strategy is “planning”.  This gives us the ability to anticipate and deal with all sorts of threats that may potentially drive our business off the cliff.One such tool/ strategy that I practice on a daily basis and encourage everyone to try is the OODA loop approach (observe–orient–decide-act). Originally a concept first used by U.S. Air Force Col. John Boyd to improve fighter jet performance, it squarely fits into day-to-day decision-making for any businesses, not just deep tech startups like cleareye.ai. A few thoughts on what it takes today to ensure better seamless interactions and business success across departments as sales and marketing evolves (given today’s largely remote selling / remote marketing environment) and the need for COOs to keep things integrated and in place.  Another key learning from my past to ensure coordination and transparency among various functions is to meticulously conduct a JPS (Joint Planning Session). I have seen people confusing a JPS with regular staff meetings or review meetings. The idea behind conducting a JPS is significantly different. Again, this is one of those key insights which I picked up from Ram Charan and also Sajan Pillai, the former CEO of UST Global and Founder of Season Two Ventures, and I put this into practice here at cleareye.ai with zero dilution. The very premise of a JPS is that when information is transparent to all parties at the same time, they can form a common understanding and situational awareness. The functional leaders present in the JPS are better equipped to make trade-offs and adjustments quickly. Decisions are made, silos are broken, leaders are empowered, and the groups will come together, and the company gets results. A few best practices you feel COOs in the tech market need to insure to help enable their sales and engineering departments run more smoothly?  You can have the best engineering product or solution in the entire world but what is the point if you don’t have a team who can market or sell it? The world is constantly changing, and it is truer in the case of technology companies. Unlike the old days, sales and marketing teams in deep tech companies are very tech and customer-savvy. They have a larger role to play beyond selling boxes. Of all the people, they stay closest to the problem. They understand what the market needs and most importantly they singlehandedly can help us determine when to “PIVOT”.  If Tech

Fintech Podcast: Around The Coin

Cleareye Blog Banner, Title is "Fintech Podcast: Around The Coin with Mariya George, CEO & Co-founder, Cleareye."

Around The Coin: Interview with Mariya George, Co-founder & President of cleareye.ai In this episode, Faisal Khan sits down with Mariya George, the Co-founder and President at cleareye.ai, a leading fintech platform transforming banks into hyper-agile organizations using advanced AI techniques. Previously, Mariya worked for nearly 15 years at UST Global, a US-based digital technology and IT services provider. Most recently, she served as the Head of Banking and Insurance at UST where she was responsible for the industry group’s overall vision, strategy, and investment priorities. Before that, she led multiple consulting engagements with a focus on bridging business demand and technology solutions.Your browser does not support the audio element.Learn More

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