Brad Lewis’ Post

Informatica is using Data and AI to make a difference!

I am proud to say that Informatica's technologies are indeed playing a crucial role in driving positive change across various industries. By partnering with forward-thinking companies like Federated Hermes, Ford Motor Credit, and Zalando, Informatica is demonstrating the transformative power of technology in making the world a better place. Check out the latest blog post by Brad Lewis Chief Legal Officer to dive deeper into these inspiring stories and see how Informatica is contributing to global positive change. #sustainability #positivechange #informatica #datamanagement

As #sustainability becomes more of a focus for companies of all sizes, it's exciting to think about the different ways Informatica's products can help the greater good. Curious? Still not sure what 'sustainability' actually means in 2024? You're not alone! Brad Lewis' take on how our innovative data and AI solutions can drive sustainability and societal benefits is definitely worth the read. 👍

🌍 Harnessing Data and AI to Create a Better World! Discover how pioneering global companies are utilizing Informatica's data management and AI solutions to drive positive change. These initiatives range from sustainable investing to transformative projects in fashion and finance. 🔗 Dive deeper into this impactful journey by checking out Brad Lewis' post: https://lnkd.in/eCAMQ8s9 #Informatica

#Talentserve #Harnessing the power of data; Introduction; Harnessing the power of data involves collecting, analyzing, and utilizing detailed information to make informed decisions, gain insights, and drive innovation. It's about finding patterns, trends, and correlations within the data to improve processes, develop new products or services, and ultimately achieve goals more effectively. The ability to harness and analyze data effectively can provide organizations with invaluable insights, improve decision-making, and lead to data-driven actions that make a difference. It involves the application of various techniques, technologies, and algorithms to uncover patterns, trends, correlations, and valuable information within massive volumes of data. The role of data analytics in harnessing the power of big data Big data analytics is the process of collecting, examining, and analyzing large amounts of data to discover market trends, insights, and patterns that can help companies make better business decisions. Data collection is the process of collecting, measuring, and analyzing data from various sources to gain insights. Data can be collected through various sources, such as social media monitoring, online tracking, surveys, feedback, etc. Harnessing the power of data analytics allows manufacturing managers to identify bottlenecks, predict issues, and improve overall process efficiency. The power of data in supply chain Data analysis helps determine optimal routes, schedules, and processes to minimize costs, emissions, and resource usage across the supply chain. Data management increases transparency. Collecting and analyzing data from across the supply chain provides visibility into the origin and movement of materials and products. Big Data And Real-time Analytics- NoSQL databases are designed to handle large and unstructured data sets with high availability and scalability. Conclusion; Small data holds the key to realizing the complete potential of AI by bringing forth the hidden value of data and allowing for more effective business results throughout an organization. By contrast, large amounts of data can impede AI's potential. #Task74

Flagships Corporates Peer Exchange: The Implementation of AI and Data Strategy in Corporates   Moderated by Amulya Bondada, KI Park e.V., several German corporates came together to have a lively exchange on the implementation of AI and data strategy within corporates. Special thanks to Thomas Buck and the teams at Vitesco Technologies for being the initiating partner for this exchange.   Participants were management and technical experts from Volkswagen Group, CARIAD, Vitesco Technologies, and NTT Germany AG & Co. KG. Special thanks to Cloudera, Informatica, BioNTech SE/InstaDeep Ltd, ML6 | Your partner in AI, and Celonis for sharing their key learnings from implementation in large European corporates.   Key topics covered were: - Data governance and control (how/when to automate access rights when sharing data products) - Data security - Data quality  - Data architecture and platform - Data flow   The following data use cases were discussed in detail: - How to use car data for predictive user functions (sensor and 3rd party) - Enterprise search engine    Antitrust/competition law were taken care of such that the exchanges were appropriate.  

Data is at the center of every digital transformation initiative in the industrial world. The problem is that most organizations don't have enough data and even collecting, contextualizing, and analyzing the data is a challenge for them. This is the reason we created The Industrial Data Hub. We make it all possible at a cost that works for all industrials. https://lnkd.in/eM4PYY_J

#Talentserve #Harnessing the power of data; Introduction; Harnessing the power of data involves collecting, analyzing, and utilizing detailed information to make informed decisions, gain insights, and drive innovation. It's about finding patterns, trends, and correlations within the data to improve processes, develop new products or services, and ultimately achieve goals more effectively. The ability to harness and analyze data effectively can provide organizations with invaluable insights, improve decision-making, and lead to data-driven actions that make a difference. It involves the application of various techniques, technologies, and algorithms to uncover patterns, trends, correlations, and valuable information within massive volumes of data. The role of data analytics in harnessing the power of big data Big data analytics is the process of collecting, examining, and analyzing large amounts of data to discover market trends, insights, and patterns that can help companies make better business decisions. Data collection is the process of collecting, measuring, and analyzing data from various sources to gain insights. Data can be collected through various sources, such as social media monitoring, online tracking, surveys, feedback, etc. Harnessing the power of data analytics allows manufacturing managers to identify bottlenecks, predict issues, and improve overall process efficiency. The power of data in supply chain Data analysis helps determine optimal routes, schedules, and processes to minimize costs, emissions, and resource usage across the supply chain. Data management increases transparency. Collecting and analyzing data from across the supply chain provides visibility into the origin and movement of materials and products. Big Data And Real-time Analytics- NoSQL databases are designed to handle large and unstructured data sets with high availability and scalability. Conclusion; Small data holds the key to realizing the complete potential of AI by bringing forth the hidden value of data and allowing for more effective business results throughout an organization. By contrast, large amounts of data can impede AI's potential. #Task 29 #Blog 2

🚀 Let's unlock the potential of #AI together at Big-Data.AI Summit! 💪 Today's business landscape is in the midst of transformation, and the emerging power of #AtificialIntelligence and #data will drive us into unexplored fields. The integration of these technologies will increase efficiency, accelerate innovation, and open up new opportunities for growth. 🔎 Join us on 20 and 21 September 2023 at #BAS23 to find out which technologies can be leveraged for the development of your business model, what to know about the social and legal circumstances and how rules for AI and data in Europe can be designed. 🤝 We want to use this opportunity to thank our partners: Alteryx | Cloudera | Fraunhofer-Gesellschaft | Fujitsu | HP | IBM | Microsoft | MicroStream | One Data | Schürmann Rosenthal Dreyer Rechtsanwälte | Thoughtworks | Toolbox Datenkompetenz | Berlin Partner für Wirtschaft und Technologie GmbH | BIG PICTURE GmbH | Cloudflare | GBI-Genios Deutsche Wirtschaftsdatenbank GmbH | Johnson & Johnson | Palo Alto Networks DACH | Shutterstock | SAP. ➡️ More information and tickets on our website: https://www.big-data.ai/

🔍 Is Data Quality Broken? 🚫💾 A recent survey of 400 global data leaders reveals that 24% of respondents consider a "lack of quality data or ability to easily access the right data" as their primary obstacle to extracting more value from analytics and AI. Data quality issues persist due to various reasons, leading to significant costs. According to experts, verifying data quality at the point of entry costs $1, while correcting it later costs $10, and working with uncleaned data costs a whopping $100. So, how can organizations address these challenges and improve data quality? Dataiku provides powerful solutions to streamline data processes and scale AI effectively. 🔍 Discover Data with Ease 💡 Dataiku offers solutions for data discovery, exploration, and analysis to identify and rectify flaws in datasets. Their Feature Store empowers teams to access trusted data effortlessly, reducing the need for time-consuming data preparation. This ensures better machine learning models, reliable algorithms, and informed business strategies. 🤝 Make Data Reliable Together 🤝 Dataiku fosters collaboration between technical and business teams, allowing experts to work together on the same platform. With visual interfaces, data preparation becomes simpler and more efficient. Teams can control and share trusted data while monitoring data quality to ensure continuous data integrity. 💡 ML and AI Won't Scale Without Data Quality 📈 Data quality is crucial for the success of machine learning and AI initiatives. Teams must invest in data infrastructure to avoid costly issues. Data quality should become an integral part of everyday thinking. Remember: data quality does not mean perfect data. It means data is fit for purpose 🔧 Tackle Data Quality Challenges with Dataiku 🛠️ Discover how Dataiku's advanced features can help your team break down data silos, empower domain experts, and ensure shareable, trusted data. Don't let data quality issues hinder your AI journey. https://lnkd.in/eH5rczB9 #machinelearning #ai #generativeai #dataiku #datapreparation #datadiscovery