Artificial intelligence and machine learning already deliver plenty of practical value to enterprises, from fraud detection to chatbots to predictive analytics. But the audacious creative writing skills of ChatGPT have raised expectations for AI/ML to new heights. IT leaders can't help but wonder: Could AI/ML finally be ready to go beyond point solutions and address core enterprise problems? Take the biggest, oldest, most confounding IT problem of all: Managing and integrating data across the enterprise. Today, that endeavor cries out for help from AI/ML technologies, as the volume, variety, variability, and distribution of data across on-prem and cloud platforms climb an endless exponential curve.

Informatica, a leading data management solutions provider, has recently launched an AI-powered tool for marketers. This new tool is designed to help marketers enhance their marketing strategies and drive better business outcomes. The new tool, named "Informatica Intelligent Cloud Services for Marketing," leverages AI and machine learning to provide marketers with advanced insights into customer behavior and preferences. It offers a suite of features that enable marketers to create more personalized and effective marketing campaigns, increase customer engagement, and optimize marketing spend. One of the key features of Informatica's AI tool for marketers is its ability to analyze customer data and generate predictive insights.

Informatica, an enterprise cloud data management specialist, has launched the industry's only free cloud data loading, integration and ETL/ELT service – Informatica Cloud Data Integration-Free and PayGo. The new offering targets data practitioners and non-technical users such as in marketing, sales, and revenue operations teams to build data pipelines within minutes. For example, it provides operations teams with a fast, free, and frictionless way to load, integrate and analyze high-quality campaign, pipeline, forecast, and revenue data. In addition, data analysts and data engineers benefit from increased productivity and rapid development. This is the second in a series of releases that began with the Informatica Data Loader launch in May 2022.

Informatica, an enterprise cloud data management leader, is announcing its inclusion as an initial partner of the Microsoft Intelligent Data Platform Partner Ecosystem. Microsoft announced the launch of this ecosystem during its Microsoft Ignite 2022. This initiative represents an investment both companies are making towards helping enterprises truly operationalize AI with trusted and governed data. "We unveiled the Microsoft Intelligent Data Platform to integrate databases, analytics and governance and help customers address fragmentation and focus time on creating value. We're excited to partner with Informatica to bring more value, and meet our customers where they are" By bringing the end-to-end data management capabilities of the Informatica Intelligent Data Management Cloud (IDMC) which includes data ingestion, analytics and governance to augment the Analytics, AI/ML capabilities of the Microsoft Intelligent Data Platform (MIDP), the two companies will be deepening their partnership to drive the next phase of AI-driven digital transformation.

Business analytics is an increasingly powerful tool for organisations, but one that is associated with steep learning curves and significant investments in infrastructure. The idea of using data to drive better decision-making is well established. But the conventional approach – centred around reporting and analysis tools – relies on specialist applications and highly trained staff. Often, firms find they have to build teams of data scientists to gather the data and manage the tools, and to build queries. This creates bottlenecks in the flow of information, as business units rely on specialist teams to interrogate the data, and to report back.

Informatica, an enterprise cloud data management leader, announced the Intelligent Data Management Cloud (IDMC) for Financial Services, an end-to-end integrated data management cloud that enables the entire data lifecycle, including data discovery, ingestion, integration of data and applications, quality improvement, single views and business 360 applications, governance, privacy, and data sharing and democratization. IDMC for Financial Services leverages Informatica's cloud native solutions as an integrated platform to help financial services companies access and leverage Fit for Business Use data to support their top business priorities including: Improve Customer Experience: IDMC for Financial Services allows companies to access and deliver clean, trusted and valid data between the systems that support customer engagement and interaction across any channel, device or business unit. In addition, it enables companies to organize, relate and deliver a 360-degree view of the business for everyone from customer service, sales, and financial advisors to insurance agents to deliver exceptional customer service at their time of need. Grow the Business: IDMC for Financial Services helps marketing and sales organizations identify new cross-sell opportunities to expand wallet share with existing customers to help drive revenue streams and retain customer relationships. It enables users to obtain clean, valid and holistic data about each customer relationship, the accounts or policies they own, and how they are related to other customers, employees or business entities.

The Morning Ledger provides daily news and insights on corporate finance from the CFO Journal team. Private-equity firm Permira and the Canadian Pension Plan Investment Board in 2015 took the company private in a transaction valued at $5.3 billion after roughly 15 years as a public company. The company has since moved its on-premises products to a cloud-based platform and built a subscription business. Permira and CPPIB will control about 85% of the company after its IPO. Informatica, which lists drugmaker Eli Lilly & Co., consumer-goods giant Unilever PLC and supermarket chain Kroger Co. among its customers, helps companies connect and manage their data across the cloud and on-premise systems, allowing organizations to better analyze the data they collect.

In the family of Intelligent Transportation Systems (ITS), Multimodal Transport Systems (MMTS) have placed themselves as a mainstream transportation mean of our time as a feasible integrative transportation process. The Global Economy progressed with the help of transportation. The volume of goods and distances covered have doubled in the last ten years, so there is a high demand of an optimized transportation, fast but with low costs, saving resources but also safe, with low or zero emissions. Thus, it is important to have an overview of existing research in this field, to know what was already done and what is to be studied next. The main objective is to explore a beneficent selection of the existing research, methods and information in the field of multimodal transportation research, to identify industry needs and gaps in research and provide context for future research. The selective survey covers multimodal transport design and optimization in terms of: cost, time, and network topology. The multimodal transport theoretical aspects, context and resources are also covering various aspects. The survey's selection includes nowadays best methods and solvers for Intelligent Transportation Systems (ITS). The gap between theory and real-world applications should be further solved in order to optimize the global multimodal transportation system.

Informatica is acquiring GreenBay Technologies, a Wisconsin based startup that it funded to fill in a gap with its machine learning capabilities when it comes to matching data entities and the schema that represent them. Informatica's latest acquisition extends machine learning capabilities into matching of data entities and schemas. And the acquisition came out of Informatica's first formal partnership effort with a university. The new capabilities will find their ways into Informatica's existing master data management (MDM), enterprise data catalog, privacy, governance, and data integration offerings. The company, GreenBay Technologies, was co-founded by a University of Wisconsin at Madison computer science professor and began operation with ties to the university and its alumni research foundation.

And right now the shortest route to that understanding appears to lie within the notion of data cataloging, specifically the ingestion, registration, description, and validation of data. For that we are starting to see a number of tools like Microsoft Azure Data Catalog and Tableau Data Catalog enter the market, promising to bring the focus back to the front end of the pipeline without enforcing (or interfering with) existing data warehousing or master data management and governance requirements. Enterprise cloud data management heavyweight Informatica has certainly been an active proponent of data intelligence through ideas like cataloging (and data management, quality, governance and security) for some time now. But unlike many analytics- or platform-centric rivals, Informatica's broad portfolio allows the company to market their Enterprise Data Catalog not only as standalone but also in the context of data governance, analytics, apps modernization, and other key initiatives, not as an isolated cure-all for data distrust but rather as a trust-increasing component within the enterprise data pipeline, right next to standalone data governance, data preparation, data integration, data quality, data protection, and data operationalization. When it comes to AI-based decisions, this kind of data-first value chain is of particular importance for the simple reason that AI is an iterative, communal endeavor among data analysts, engineers, scientists, and other stakeholders.