TensorFlow, open source, and IBM (sponsored by IBM)
February 22, 2020
IBM has a long history of contributing to the open source projects that make the most difference to its clients, and the company has been working to build responsible solutions to enterprise data science problems for many years. Join Frederick Reiss to hear about IBM's role in open source software, TensorFlow, building AI solutions, and what IBM is excited about with this latest (2.0) release.
Implementing an AI multicloud broker
February 19, 2020
Holger Kyas details the AI multicloud broker, which is triggered by Amazon Alexa and mediates between AWS Comprehend (Amazon), Azure Text Analytics (Microsoft), GCP Natural Language (Google), and Watson Tone Analyzer (IBM) to compare and analyze sentiment. The extended AI part generates new sentences (e.g., marketing slogans) with a recurrent neural network (RNN).
Your easy move to serverless computing and radically simplified data processing
February 7, 2020
Most analytic flows can benefit from serverless, starting with simple cases to and moving to complex data preparations for AI frameworks like TensorFlow. To address the challenge of how to easily integrate serverless without major disruptions to your system, Gil Vernik explores the push to the cloud experience, which dramatically simplifies serverless for big data processing frameworks.
Unlocking the value of your data (sponsored by IBM Watson)
February 2, 2020
Dinesh Nirmal examines how, with a unified, prescriptive information architecture, organizations can successfully unlock the value of their data for AI as well as trust and control the business impact and risks of AI while coexisting in a multicloud world.
Ask not what Brands can do for you
February 1, 2020
You'll see a lot of companies on the OSCON 2019 keynote stage, each sharing how much they love free and open source software. You may even (sarcastically) think, "Gosh am I ever glad I got to hear from all of these Brands!" VM Brasseur explains why this perspective isn't very helpful for the companies trying to do open source correctly. They need usour knowledge, experience, and compassion.
Are Data Struggles Holding Back your AI Projects? Are you Ready for Open Metadata and the CDLA?
January 30, 2020
Data challenges are halting AI projects for multiple reasons, and open source developers are looking for solutions. Do you know how to share data sets properly? Just like software, you don't want to p …
Deploy a blockchain web app with Hyperledger Fabric
January 30, 2020
If you've ever wanted to get into blockchain development but haven't found a good place to start, you're in the right place. Horea Porutiu walks you through the basics of the Hyperledger Fabric platform by building a simple blockchain application and analyzing the main components required to run a blockchain network.
Removing unfair bias in machine learning using open source (sponsored by IBM)
January 25, 2020
ML models are increasingly used to make decisions that impact lives. Ana Echeverri and Trisha Mahoney walk you through how to use the open source Python package AI Fairness 360, developed by IBM researchers, a comprehensive open source toolkit empowering users with metrics to check for unwanted bias in datasets and machine learning models and state-of-the-art algorithms to mitigate such bias.
The role of open source in mitigating natural disasters (sponsored by IBM)
January 24, 2020
Many IBM products and offerings have a solid foundation of open sourcetake a peek under the hood of IBMs cloud platform and services and see for yourself. Pedro Cruz and Brad Topol outline the intersection between open source and natural disasters by sharing one of IBM's 2018 solutions. Learn how to get involved at Developer.ibm.com/callforcode.
KVMstat and Beyond - Past, Present and Future of Performance Monitoring - Christian Borntrger, IBM
January 9, 2020
When it comes to performance monitoring KVM provides sophisticated tools to deep dive into specific aspects. For example, kvm_stat or perf allows analyzing the exits from a guest mode. On the other ha …
Streamlining your data assets: A strategy for the journey to AI (sponsored by IBM)
December 21, 2019
The journey to AI begins with data and making intelligent use of it. Dinesh Nirmal shares a strategic framework for streamlining your data assets, a framework that takes into account the current state of your existing data structures, the new technologies driving enterprise, the complexities of business processes, and at the foundation, the elements required in an AI-fluent data platform.
Is architecture dependent on infrastructure? (sponsored by IBM)
December 17, 2019
How much do you as an architect know about infrastructureand how much do you think you should know? As we transition from physical systems to virtual machines to containers, the way we build systems is also changing radically, influenced by the new paradigms. James Bottomley explores the relationship between the systems we build and the infrastructure we build them from.
The future of cloud-native programming (sponsored by IBM)
December 15, 2019
Today, we are witnessing a great proliferation of cloud-native paradigms such as 12-factor apps, microservices, and serverless. Tamar Eilam discusses an emerging unified cloud platform (based on open source projects such as Kubernetes and Istio) and explains why the new frontier is its evolution to unify multiple programming paradigms for greater simplification with power of expression.