Numerous financial procedures can be accelerated with NLG when machine learning is used, freeing human resources for more complex tasks.
We invite you to listen to the Bio Report podcast where the commentators discuss the writing of clinical data reports.
We examine the latest trends in data democratization and the steps that organizations need to take in order to become data driven using AI.
Benefits of pharma workflow automation include increase in productivity, reduction of errors and streamline processes.
AI technologies enable healthcare systems to provide enhanced and quality care and will continue to reinvent modern healthcare.
Streamlined technology has been rapidly propelling the life sciences industry forward and for the past few years, it’s hard to imagine a world without it.
A guide to finding the right tech and the right use case.
Artificial intelligence (AI) is set to radically transform the pharmaceutical industry.
Yseop’s Augmented Analyst eliminates up to 50% of time spent on reporting tasks across all of corporate finance.
Yseop’s Augmented Analyst BI Solutions bring report automation and deeper insights to data visualization tools like Tableau.
We invite you to listen to this podcast featuring Emmanuel Walckenaer.
If Data is a Language, How Can We Translate It Into One Everyone Understands?
After four successful years of collaborating, Sanofi plans to expand Yseop’s platform for pharma and vaccine use cases.
We invite you to listen to our new podcast episode.
Since the onset of the COVID-19 pandemic, CFO’s and their respective financial teams have been forced to digitally transform at unprecedented rates, whether prepared or not.
The Unique Collaboration includes a Long-Term Commercial and Investment Agreement Between Yseop and Lilly, an Industry First for Natural Language Generation (NLG).
Regulatory compliance reporting is a heavy lift for the healthcare industry.
In this 30 minute webinar, we look at how AI tools can alleviate the common administrative pain points for medical writers.
In 2020, pharma companies pivoted from slow and painstaking processes to speed and agility that developed life-saving vaccines and treatments in less than a year.
The COVID-19 pandemic has upended the working norms of every sector, but perhaps no industry has been challenged quite so much as those businesses in life sciences.
Over the last week, we analyzed the top five emerging trends facing CFOs in 2022 and beyond.
The third trend in our ongoing series, “The Top Trends for CFOs in a Post Pandemic World,” showed us that various government regulations often require the use of digitization.
In our ongoing blog series, “The Top Trends for CFO’s in a Post Pandemic World,” we have discussed a variety of topics including harnessing real-time data to drive strategy.
The first part in our ongoing blog series, “The Top Trends for CFO’s in a Post-Pandemic World” looked at how crucial having access to real-time data is.
In this blog series, we will analyze the top five emerging trends facing CFO’s in 2022 and beyond.
Improving Drug Development Speed with AI in Life Sciences – with Emmanuel Walckenaer of YSEOP and  Dan Faggella from Emerj.
With Salesforce’s acquisition of Narrative Science, any company not utilizing integrations related to Tableau will need to find a new vendor in the upcoming months. 
With Yseop’s new Augmented Analyst release, we have made it easier than ever for customers to create and maintain their NLG data and reporting processes across life sciences and financial services.
Next up for our Friday AI Movie of the week, we are highlighting Free Guy, a 2021 action comedy release.  
This week for our Friday pick of the week (and just in time for Valentine’s Day!), we are rewatching a movie that looks at the themes of Artificial Intelligence (AI) and romance. 
In 2022, Artificial Intelligence (AI) is now a pervasive aspect of our day-to-day life without us even noticing.
By 2025, the global market for AI software in healthcare is set to exceed more than $8.1 billion.
Today, when a company applies for credit, business managers must analyze numerous financial indicators to evaluate their customers’ ability to repay.
Reducing time to market for new drug introductions has never been more crucial. Getting new drugs approved is a long and wearisome process that leaves no room for mistakes.
Earlier this week, Yseop was named a finalist in the 2021 FinTech Finance Awards. We’re thrilled to share that our Augmented Financial Analysis (AFA) solution was honored.
Yseop was first born out of a childhood dream of mine which has quickly become a reality over the last quarter of a century. This dream was to create an extraordinary, “magical” toy which did remarkable and unthinkable things, until now. 
With the newest 2.4 release of Augmented Analyst platform, Yseop’s customers can take advantage of some amazing new features to enhance report automation.
Every year, the Village Awards, in partnership with Alliancy, holds an event for innovators to be recognized for their achievements and impactful technologies.
Natural Language Processing Startup Opens U.S. Operations in Midtown Manhattan, the Heart of New York City’s Silicon Alley High-Tech Sector.
Bringing AI and NLG to Clinical Study Reports
There is an increasing demand for Artificial Intelligence in the market today. The demand is ridiculously high to the point of becoming akin to expectation.
Automating Critical Drug Discovery Processes with NLP – with Emmanuel Walckenaer of YSEOP and Dan Faggella from Emerj
Until now, reporting has required hours of manual effort across finance departments and companies.
Natural Language Generation (NLG), in its simplest definition, uses artificial intelligence to produce meaningful phrases and sentences in the form of natural language.
Variance Analysis is a backbone feature of any Finance or FP&A department. To maintain high level performance, automation can get back valuable time while increasing output.
Despite occurring predictably, annual and quarterly financial reporting remains an intense weight on teams across the globe.
Has slow sales optimization been costing your company its competitive edge? Keeping up with global operations may involve waiting four days.
Our CEO, Emmanuel Walckenaer, spoke to The Banker’s Joy Macknight about how financial institutions can leverage natural language generation (NLG).
Transform and grow your business with intelligent automation from the market leader. Yseop’s Augmented Analyst solution provides fast, scalable, democratized Intelligent Report Automation (IRA).
In a few years, artificial intelligence has transformed from an overhyped academic subject to a business technology with myriad applications.
Over the past few years, the term Natural Language Generation has become more and more common.
Providing a summarized and dynamic sales analysis to business analysts and other key stakeholders at Sanofi.
Providing a leading retail bank’s branch management with key performance insights and personalized action plans.
A month ago, our second YseopMorning* event took place in Paris, in partnership with Capgemini Invent.
On February 25, our second YseopMorning event took place in Paris, in partnership with Capgemini Invent.
Yseop is proud to announce it has been qualified as an Intermediate ScaleUp by the Capgemini ScaleUp Qualification program!
Automating daily P&L affirmation reports for the product control department of a major global bank.
YseopMorning is a breakfast briefing event designed for anyone interested in Artificial Intelligence and Digital Transformation.
In 2019, we participated in the Shared Task organized by Lancaster University and Fortia Financial Solutions as part of the 2nd Financial Narrative Processing (FNP) Workshop series.
The Shared Task organized by Lancaster University and Fortia Financial Solutions is part of the Financial Narrative Processing (FNP) Workshop series.
Automating financial analysis for the credit department within the retail banking division.
Automating financial analysis for the credit department within the retail banking division.
Automating management control reporting for a CAC 40 investment bank, saving time and improving accuracy.
SFR improved consistency and productivity across its 4 call centers, with a bespoke tool to automate the generation of personalized emails to customers.
Sanofi leveraged Natural Language Generation to streamline its Clinical Study Report (CSR) generation, reducing the time taken to get drugs to market.
Last week, David Boyle, a British author and journalist, wrote an Op-Ed for the daily newspaper The Guardian recounting his experience as a jury member for the Loebner Prize, an annual Turing test competition.
It seems an obvious and pretty simplistic thing to say, yet so many projects end up dying because this very first step is overlooked.
Yseop is an AI company, whose software produces texts requiring a significant amount of domain knowledge and accuracy in details. As such, it deals daily with complex Natural Language Generation AI.
The Artificial Intelligence Platform, 2019 edition (PFIA2019) will take place in Toulouse in early July. The annual symposium’s objective is to gather researchers, companies and students for conferences and workshops focused on Artificial Intelligence (AI).
This is the second in a two-part series reflecting on the SIDO international AI and connected objects conference held in Lyon earlier this year attended by Marion Fioravanti.
This is the first in a two-part series reflecting on the SIDO international AI and connected objects conference held in Lyon earlier this year attended by Marion Fioravanti.
Yseop, the French artificial intelligence wonder company and world leader in Natural Language Generation (NLG), has today announced that the project to digitize management control processes.
The DIA brings together researchers, pharma companies and innovative tech companies to addresses the challenges facing the pharma sector today. With the prevalence of AI across the business sector.
Christmas. A busy time of year for parents, schools and one North Pole based team in particular. As we draw closer to Christmas Eve, Santa is feeling the pressure with so many presents to make and deliver and millions of letters.
A few weeks ago, Alain Kaeser, Yseop’s Founder & Chief Science Officer, and myself attended a seminar at Paris University in which Jacques Pitrat presented his work.
AI is a significant area of consideration for management teams in the Finance and Banking sectors. It has potential to optimise processes, both in terms of quality and quantity.
With over 1500 attendees, and more than 100 speakers, the Chatbot Summit is the place to be to learn about and engage in conversation.
Recently Amazon CEO Jeff Bezos was named the world’s most wealthy man. There is no question that Amazon has disrupted and is disrupting many industries.
It seems that every day we hear of a new AI use case. Could AI automate financial advice, write music, diagnose disease, or my favourite “Could AI Spot Obesity from Space”?
Like all new technologies, CRM tools have evolved since the early days of bespoke customer management systems.
In financial services, chatbots are becoming a buzzword on par with Big Data, Machine Learning, and Artificial Intelligence.
The big headline at the Gartner Data and Analytics Summit this year was about highlighting the value of data and analytics solutions as well as developing a culture of data enablement.
Imagine what you could do with an extra 13 hours in your work week? What if automating written reports could give you 30% of your work week back?
The AI market is expected to grow to $9.88 billion in 2022, from last year’s figure of $2.61 billion. So how can solution providers take advantage of this growing market and increase adoption rates?
Today, AI is truly everywhere. From phone apps to advertising, to home devices like Alexa and Google, AI already has a strong influence on our daily lives.
The term Artificial Intelligence has been the center of debate, speculation, and even fantasy for years, if not decades now.
re you part of the 90 estimated million users that have used a voice assistant last month? More and more people are using voice commands within their daily routine, so it’s becoming common place for users, especially those under 50.
According to Accenture, AI has the potential to save the US healthcare economy $150 billion in annual savings by 2026.
According to McKinsey, there is “a second wave of automation and AI emerging in the next few years, in which machines will do up to 10 to 25 percent of work across bank functions, increasing capacity and freeing employees to focus on higher-value tasks and projects.”
What makes a CRM successful? While answers range from CRM usage to features and User Experience, one of the most common responses is data integrity. Whether you work in a call center, back office, sales or marketing, accurate data is critical.
Last week, I talked about a common misconception about Artificial Intelligence: all AI technology is a black box. While this may be true for some instances, this isn’t the case for all forms of AI
Last week, we participated in the Teradata Partners Conference in Anaheim, CA. The conference talks covered a wide variety of topics, from data management to dashboards to cloud technology to data privacy.
Last week, VentureBeat hosted a summit in Berkeley called “Riding the AI Wave.” Talks focused around the multitude of ways that AI is transforming business.
Call centers are often quietly called “cost centers” in companies, and it’s no wonder. With high rates of employee turnover along with the high demand for accuracy.
Opinions about automation in the workplace are slowly changing, based on two different surveys that were recently released. The first, a survey from MIT and Genesys.
The term business process automation (BPA) is almost reaching buzzword status this year, replacing Big Data and Digital Transformation from last year.
Every year Gartner makes top predictions on the future of digital technology. In 2015, one of these predictions was by 2018, 20% of all content will be generated by machines.
When you think of Artificial Intelligence you no doubt conjure up ideas of self-driving cars, robots, and science fiction. With this in mind, AI and finance may seem strange bedfellows, but the truth about AI is less Hollywood and more Wall Street.
Recently, there has been significant progress in the healthcare and Artificial Intelligence industries.
In the beginning of the month, Morningstar ETF Conference brought together finance advisors to talk about strategies and insights about exchanged-traded funds (ETF’s).
Apple’s event this week brought a lot of interesting announcements. We saw updates with facial recognition software, a new Apple Watch and Apple TV.
As I look through the news each week, it really amazes me how often I see the term Artificial Intelligence misused or applied in ways that aren’t really realistic based on our current understanding.
At the beginning of the year, we took at look at anticipating what enterprise tech trends would be for 2017. Now that we’re getting closer to the end of the year, we thought we’d take another look.
Reid Hoffman, known for his success as a PayPal executive as well as co-founder at LinkedIn, was featured on CBS last week.
This week’s featured article comes from the Chief Digital Evangelist at Salesforce, Vala Afshar.
In a blog post from Gartner last week, Rita Sallam announced that a new emerging topic that is becoming more prominent in the Business Intelligence and Analytics space: augmented analytics.
Automation is transforming the finance industry and it’s easy to see why. With growing databases and customers demanding personalized service, automation helps companies meet the current market demands.
Big Data is all around us, and I don’t mean that data is used everywhere. Instead, Big Data marketing is all around us, on the side of buses, on our television screens, in banner ads bombarding us online.
It seems everywhere we look, companies and analysts are talking about Natural Language Generation (NLG) software.
One of the most common questions I get from people interested in Natural Language Generation (NLG) is “how do we choose the first project?” The value of a software that can automatically write reports.
Business Intelligence tools is a term that has become commonplace within the analytics community, with a definition that has been slowly refined through the years.
As a company, it’s easy to understand that there’s value in data and that’s the point of business analytics. Data collection gives us information, data analysis gives us insights.
I’ve always been fascinated by the time period around the turn of the last century because of the strange juxtaposition of modern technology with ages-old processes.
It’s a familiar story. You’ve tried almost every combination of tips and tricks to improve your data analytics, but your Business Intelligence and analytics ROI is low.
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