Paris, October 02, 2019 – Capgemini has developed an intelligent data platform called Project FARM (Financial and Agricultural Recommendation Models), which is designed to optimize the agricultural value chain and bolster global food supply. The platform uses Artificial Intelligence (AI) to determine farming patterns through big data, generating insights from the data to make recommendations. It uses Machine Learning to make the platform applicable at scale by connecting it with cell phones. This solution has been built in collaboration with Agrics, a social enterprise operating in East Africa, which provides local farmers with agricultural products and services on credit. Global demand for food is anticipated to increase by 60% by 2050[1].

Global demand for food is anticipated to increase by 60% by 2050. Today, a great percentage of the world's population is fed by small-scale farmers, primarily from developing countries, using traditional methods and rudimentary farming practices. The complex value chain and the lack of resources and connectivity add to the agricultural inefficiency, so, there is a strong need for a wider package of yield optimizing and risk decreasing services for these small-scale farmers. Project FARM, created at Capgemini's Applied Innovation Exchange (AIE) Collaboration Zone (CoZone) in the Netherlands, aims to address these issues. The Project FARM platform uses Artificial Intelligence to determine farming patterns through big data, generating insights from the data to make recommendations.

Paris, October 02, 2019 – Capgemini has developed an intelligent data platform called Project FARM (Financial and Agricultural Recommendation Models), which is designed to optimise the agricultural value chain and bolster global food supply. The platform uses Artificial Intelligence (AI) to determine farming patterns through big data, generating insights from the data to make recommendations. It uses Machine Learning to make the platform applicable at scale by connecting it with cell phones. This solution has been built in collaboration with Agrics, a social enterprise operating in East Africa, which provides local farmers with agricultural products and services on credit. Global demand for food is anticipated to increase by 60% by 2050[1].

Informatica, the enterprise cloud data management leader, today announced it is investing in GreenBay Technologies, a data management startup focused on AI and machine learning, to develop AI innovations that strengthen the impact of Informatica's AI-powered CLAIRE engine across its Intelligent Data Platform . GreenBay Technologies has ties to the University of Wisconsin (UW) at Madison and the Wisconsin Alumni Research Foundation (WARF), one of the oldest and most successful technology transfer offices in the nation focused on advancing transformative discoveries to the marketplace. GreenBay Technologies develops products that use machine learning and big data technologies to automate complex data management tasks such as entity and schema matching. The company was co-founded by Dr. AnHai Doan, UW's Vilas Distinguished Achievement Professor, who oversees multiple data management research projects at the university's department of computer science. Doan and the staff of Ph.D. students will collaborate with Informatica's R&D team to enhance Informatica's CLAIRE engine and power industry-leading data management solutions.

With a successful Informatica World 2018 behind us I'd like to share a recap of my session on Next Gen Analytics (NGA) Strategies in a six-part blog series (one on each strategy). I suggest you read the blog I wrote the week before Informatica World that summarized the strategies. To illustrate these six NGA strategies, I'll summarize some of the strategic focus areas from our most successful customers working on NGA initiatives. See if you recognize any of the strategies listed above as you read through these customer stories (HINT: I underlined them for you). Every company wants to be more engaged with customers and provide a better customer experience.

In fact I heard it's gonna be so big, that AWS had to rent a whole additional Vegas hotel to keep it all in! OK so I am only half kidding… For anybody following this space, the explosive growth of this conference, has been one of the biggest indicators of how massive AWS has become and the type of attention AWS has been getting. The growing attendance from Fortune 500 companies in recent years has demonstrated the focus on AWS within enterprise IT departments. This is very much in line with what we are seeing, here at Informatica, among our many large customers. And this year will mark the biggest AWS re:Invent yet!

This year the excitement is about Salesforce's introduction of Einstein – artificial intelligence (AI) built into the core of the Salesforce Platform. With Einstein, Salesforce is adding AI capabilities to Sales, Service and Marketing Clouds. This is a very significant new capability, allowing learning from all the valuable data that exists in the Salesforce Clouds. And learning is the most critical part of this offering because it leads to action recommendations, outcome predictions and if requested automation, which is what every organization is looking for today to get closer to their customers. Informatica is a long-standing partner with Salesforce and has teamed with us to help 5,000 customers on their journey to the Cloud.