Today, we're announcing CICERO, the first artificial intelligence (AI) agent to achieve human-level performance in the popular strategy game Diplomacy. Diplomacy has been viewed as a nearly impossible challenge in AI because it requires players to understand people's motivations and perspectives, make complex plans and adjust strategies, and use language to convince people to form alliances. CICERO marks the beginning of a new era for AI that can collaborate with people in gameplay using strategic reasoning and natural language processing, and the learnings from technology like this could one day lead to intelligent assistants that can collaborate with people.

Language is our lifeline to the world. But because high-quality translation tools don't exist for hundreds of languages, billions of people today can't access digital content or participate fully in conversations and communities online in their preferred or native languages. This is particularly an issue for hundreds of millions of people who speak the many languages of Africa and Asia. To help people connect better today and be part of the metaverse of tomorrow, our AI researchers created No Language Left Behind (NLLB), an effort to develop high-quality machine translation capabilities for most of the world's languages. Today, we're announcing an important breakthrough in NLLB: We've built a single AI model called NLLB-200, which translates 200 different languages with results far more accurate than what previous technology could accomplish.

In New York, artificial intelligence marketing company Cognitiv has launched a solution using algorithms built for individual advertisers, which evaluate each impression in real time and label those most likely to drive a conversion. CEO and co-founder Jeremy Fain (pictured) comments: 'Adding new customers and retaining existing ones is the lifeblood of any business, but it is very hard to find them at an efficient cost at scale. One day, one audience or tactic might work, but the next it won't or doesn't scale. Deep learning is how Cognitiv solves these problems, saving traders time while delivering new customers at scale and at an efficient cost'.

December 13, 2021 / By Joy Looney - Dataiku -- The retail and CPG industries have been undeniably rocked by the recent global health crisis. Whether from the bottlenecking of supply chain flows, disruption of demand projections, or other problems, the issues that resulted from this intense instability, along with existing challenges in the sector, have pushed retail and CPG organizations to turn to AI applications for solutions. The next step for retailers is now identifying which specific AI platforms will meet their needs. Here enters Dataiku -- the all-in-one platform that helps retailers with use cases across their value chain, from supply optimization to customer engagement.

February 25, 2021 / By Catie Grasso - Dataiku -- When choosing a data science use case, it's important to identify the potential business value (i.e., who will the project benefit, how will it change their current processes and habits), the level of necessary effort, and the likelihood of success (how much risk is involved). No matter the industry, often a great place to start for AI use cases is the office of finance within an organization, as the teams within that group work with a significant amount of data and do a lot of spreadsheet-based work. In this article, we'll summarize why the office of finance (notably the tax, audit, and finance functions) are primed for AI transformation, as well as ways Dataiku can help bring them up to speed for a modern analytics strategy. According to Deloitte, "We observe many isolated data silos within the office of finance, leading to various reconciliations, highly intense manual labor work, and an immense amount of data quality issues. A data-driven finance function recognizes the full potential of granular data, managing data as a strategic asset."

In 2020, data science, machine learning, and AI have emerged as critical organizational assets for handling large-scale change with less friction. Here's a teaser of a few of our data science trends to look out for in 2021 to ensure your organization is taking a holistic approach (think agile, responsible, and collaborative) to its data initiatives: Last year, we predicted that the year 2020 will almost certainly be one where MLOps processes are formalized and staffed as well as bolstered up with tools that make the job smoother and more manageable -- little did we know at the time how true this would actually become.

October 14, 2020 / MartTechSeries -- Alation Inc., the leader in enterprise data intelligence solutions, announced a partnership with Dataiku, the leading global Enterprise AI and machine learning platform, to accelerate time to value, increase collaboration and efficiency of data science teams, and ensure that sensitive data used to create AI and machine-learning models is properly classified and governed. "We are constantly identifying ways to help our customers reduce the complexity they experience working with data. Data scientists spend the majority of their time searching for data and data science models, and we increase their productivity by rapidly connecting them with the data they need," said Kiran Narsu, Vice President, Business Development, Alation. "We are excited to partner with Alation, as this marks the first industry partnership that allows data scientists to catalog and govern models directly within a machine learning platform," said Florian Douetteau, CEO, Dataiku. "Our partnership with Alation will enable data scientists to leverage more datasets across the enterprise, further highlighting the work these critical data users do for the rest of the enterprise."

DefinedCrowd, which provides data to support the development of artificial intelligence (AI) products, has raised $50.5m in a Series B round of funding. As a result the firm aims to expand its existing solutions, launch new offerings, double its headcount, and open more R&D offices around the world. DefinedCrowd's founder and CEO Daniela Braga (pictured) comments: 'Closing this Series B funding round is an incredible validation of what we have achieved in just four-and-a-half years. Existing customers continue to demand more DefinedCrowd training data, while new clients are attracted by our growing reputation for high quality, fast delivery and data privacy. With this funding, we'll be able to continue with our plan for triple-digit expansion in 2020, allowing us to serve our clients even better'.

February 13, 2020 / BY IAS TEAM -- Making the shift from brand safety to suitability takes some decoding, but we've got you covered. Thanks to machine learning and AI with natural language understanding, IAS's Brand Safety and Suitability solutions are evolving to include more flexibility and coverage than ever. Our technology replaces binary strategies with dynamic and scalable solutions that allow for real-time customization. We power the evolution from simply protecting your brand to building brand equity by seeking appropriate and suitable environments that generate positive responses from consumers and amplify the impact of your campaigns. Fill in the blanks to decode your strategy, and take control of your media spend by working with IAS to make the shift from brand safety to suitability to make media waste a thing of the past.