The use of machine learning (ML) models by financial institutions has grown steadily in recent years given their enhanced capabilities and widespread potential application. However, building, adopting, and regulating machine learning models remains a challenge.
We recently hosted an Investment Banking Executive Event in New York where senior leaders at top banks discussed Investment Banking trends such as the roles of AI, CRM, and Data Science in junior banker retention.
In this article, Shobhit Saxena, Associate Vice President, Products, shares some of the common challenges faced by business teams/ proposals managers and how Artificial Intelligence-driven technology solutions can help deliver high-quality proposals, increase efficiency, and save manhours.
Global manufacturing, production, and commerce depend on complex, interdependent supply chains. Think of the complexity of a smartphone, with globally sourced components including rare earth metals, transistors, and synthetic materials.
In recent years, the use of machine learning algorithms has become increasingly prevalent in financial institutions for enhancing the analytical and forecasting capabilities of business models, and facilitating automation. Their potential applications include credit underwriting, fraud detection, compliance, and risk management.
Evalueserve created a cloud-based pricing simulator for a B2B industrial manufacturer that wanted to strengthen its product pricing strategy.
June 8, 2022
In this presentation, we will explore how mature intelligence-driven organizations combine research and data analytics to turn insights into action, and how you can apply the same principles to your own intelligence programs.
AI can be found throughout clinics and hospitals working alongside doctors, nurses, and specialists. Automated systems help flag risk factors, identify likely conditions, and assist medical professionals with other vital forms of diagnoses and treatment. Our resident brand journalist Leah Moore spoke to our in-house AI expert Cathy Feng to learn more about the state of AI in the medical field.
A major global retail bank wanted to automate its document processing to yield faster and more efficient results. Evalueserve implemented a customized use of our IPDA capabilities to extract documents at scale to help the client meet this goal.
A multibillion-dollar logistics provider wanted to use AI to drive go-to-market activities, including trailer forecasting and customer segmentation.
A global development consulting firm realized that its employees were responding to requests for proposals (RFPs) without referencing previous relevant proposals.
Leah Moore, one of our brand journalists in the marketing department, sat down with in-house AI expert Cathy Feng to discuss
A recommendation engine uses algorithms to predict a user’s choice and then offer suggestions to the user, helping them find the thing that may interest them the most.
Investment in artificial intelligence (AI) is soaring. AI funding has multiplied in recent years, it’s becoming more central to software platforms
A medical research organization wanted to help more people identify Alzheimer’s in its early stages using artificial intelligence (AI).
A prominent international consulting firm recognized the power of staying one step ahead in the race for digital dominance. To elevate their marketing strategy, they aimed to analyze their competition’s social media footprints and gain valuable insights into their success.
Professional Services firms and executives have come to realize that monitoring competitors’ content is an essential step when developing their own content marketing strategy.
A global payments company wanted to understand why one of their three call centers received significantly lower ratings on customer satisfaction than the others. The company’s customer experience group had long used Evalueserve to conduct surveys.
The COVID-19 pandemic exacerbated procurement team’s day-to-day work, putting emphasis on the requirement of modernization and transformation in supply chains. Using
An unexpected result of the COVID-19 pandemic was increased model malfunctioning that heightened the importance of model risk management (MRM). As model usage becomes more widespread, reducing risk and complying with regulatory requirements demands increased testing.
Back in 1950, Alan Turing repositioned the question “Can machines think?” as an engineering challenge. He called the challenge “the imitation game,” popularly known as the Turing test.
Businesses lose about $62 billion a year to poor customer experience (CX). Why? Because they have an incomplete picture of the customer experience and the problems at hand.
Evalueserve helped implement its AI-driven Insightsfirst Opportunity Radar (ORAD) to detect opportunities from over 200,000 public and industry-specific sources. To ensure high relevancy and avoid noise, all opportunities were curated by our in-house experts.
Intel chose to partner with Evalueserve to co-develop the AI for a smart scale that would leverage the Internet of Things (IoT) in grocery stores.
Syngenta wanted a solution that would ensure that competitive and market intelligence data and analysis was available to all of their teams.
Artificial Intelligence (AI) has moved from a niche topic to a powerful internet dominant technology. With new advances every day, AI
With the digital revolution came a rise in demand for insights teams that are dedicated to monitoring data on the market, competitor strategies, supply chain disruptions, and more.
Learn why AI is essential and how it fuels knowledge-gathering efforts, visualize data, deliver information and more faster than a person could.
June 15, 2021
Most companies continue to be unsuccessful in turning the increasingly abundant data into RoI-driving decisions.
Build a successful AI-powered CI program that unearths new opportunities and helps you meet new challenges.
The Covid-19 crisis has disrupted the global workforce in an unprecedented manner.
In recent times, my conversations with general managers have inevitably veered to the topic of Artificial Intelligence (AI) and Machine Learning (ML). What puzzled me was the lack of true understanding of these terms and the imprecision with which they were being used.
MiFID II regulation provides transparency and investor protection, however, the European Union’s new approach creates conflict for US-based firms where bundling research is a common practice. So what is the need for the US to be compliant?
Automation is the most popular trend in today’s world of business. It is general consensus that automation increases productivity, leads to higher returns, and makes life better, but there are broader differences on how it will impact employment levels and society as a whole. The big question is: are we prepared to deal with its implications?
The spread of fake news is a common problem that online and social media are facing. There are different solutions that companies are applying to avoid this: Human fact-checking or artificial intelligence programs to solve the problem with technology. Both methods have failed so far. So what is a potential solution?
We helped a major US bank transform the productivity and accuracy of their financial spreading process with our patented financial spreading software, Spreadsmart.
Cognitive technology is the next big cost saving initiative in the world of procurement. We have taken a look at various cognitive solutions that are being implemented across industries and how they constructively evolve the overall maturity of the procurement organizations. The infographic below details these industries we have covered and their specific applications
One of our clients invited our chief strategist to help them assess the proposal they had received from a prominent AI tool. See why he believes AI providers are not spending enough time on the analytics value chain before pitching their services.
Warren Bennis once said that the factory of the future will have only two employees – a man and a dog. The man will be there to feed the dog. The dog will be there to keep the man from touching the equipment. Are we in the vicinity of that future yet?
Machine alone can’t deliver real insights or knowledge. Success lies in knowing how to mix the two. However, the key lies in knowing how to find the efficient frontier.
An analytics use case is the end-to-end analytics support solution applied once or repeatedly to a single business issue faced by an end-user or homogeneous group of end-users who need to make decisions, take actions, or deliver a product or service on time based on the insights delivered.
In the Silicon Valley there is the perception that machines can do everything. Our CEO, Marc Vollenweider, does not think so. Machines can and will not replace humans, who are the creators of ideas and innovations. Watch our fourth video to learn more.
In his second video, our CEO Marc Vollenweider talks about the four benefits of our mind+machine strategy for our clients: 1) Productivity increases 2) Reduce time-to-market 3) Quality improvements 4) Provide new capabilities to give our clients an edge in the market.
See the list of 10 must-watch TED Talks on mind+machine™ in our latest blog entry.
Imagine a potential client who wants investment advice but whose earnings, while relatively high, don’t put them in the right bracket for your company’s full services.
The research blog of CB Insights recently featured a really interesting post around 14 early-stage virtual assistant startups to watch.
There has been a flood of books on this topic in the last year or two. We have compiled a reading list of the top business books on automation and the future of work.
Business Insider recently ran an interesting post on this topic based on the results published from an algorithm by ExecRank.
Today’s dynamic and fast-paced businesses look for quick and informed decision-making, powered by real-time analysis of huge volumes of data.
Sector & Account Intelligence
MICI for Asset & Wealth Management
CI for Management Consulting Firms
ESG Intelligence for Asset Managers Fund Marketing & Digital Marketing Intellectual Property Management MICI for Real Estate
ESG Controversy Monitoring for Asset Managers
Patent Analysis
RPA For Risk Model Management
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