FoundationDB is an open-source transactional key-value store created more than 10 years ago. It is one of the first systems to combine the flexibility and scalability of NoSQL architectures with the power of ACID transactions. FoundationDB adopts an unbundled architecture that decouples an in-memory transaction management system, a distributed storage system, and a built-in distributed configuration system. Each sub-system can be independently provisioned and configured to achieve scalability, high availability, and fault tolerance. FoundationDB includes a deterministic simulation framework, used to test every new feature under a myriad of possible faults. This rigorous testing makes FoundationDB extremely stable and allows developers to introduce and release new features in a rapid cadence. FoundationDB offers a minimal and carefully chosen feature set, which has enabled a range of disparate systems to be built as layers on top. FoundationDB is the underpinning of cloud infrastructure at Apple, Snowflake, and other companies, due to its consistency, robustness, and availability for storing user data, system metadata and configuration, and other critical information. Many cloud services rely on scalable, distributed storage backends for persisting application state. Such storage systems must be fault tolerant and highly available, and at the same time provide sufficiently strong semantics and flexible data models to enable rapid application development. Such services must scale to billions of users, petabytes or exabytes of stored data, and millions of requests per second. More than a decade ago, NoSQL storage systems emerged offering ease of application development, making it simple to scale and operate storage systems, offering fault-tolerance and supporting a wide range of data models (instead of the traditional rigid relational model). In order to scale, these systems sacrificed transactional semantics, and instead provided eventual consistency, forcing application developers to reason about interleavings of updates from concurrent operations. FoundationDB (FDB)3 was created in 2009 and gets its name from the focus on providing what we saw as the foundational set of building blocks required to build higher-level distributed systems.

IBM (NYSE: IBM) today unveiled IBM z16, IBM's next-generation system with an integrated on-chip AI accelerator -- delivering latency-optimized inferencing. This innovation is designed to enable clients to analyze real-time transactions, at scale -- for mission-critical workloads such as credit card, healthcare and financial transactions. Building on IBM's history of security leadership, IBM z16 also is specifically designed to help protect against near-future threats that might be used to crack today's encryption technologies. IBM innovations, including the IBM z16, have formed the technology backbone of the global economy for decades. Today's modern IBM mainframe is central to hybrid cloud environments, valued by two-thirds of the Fortune 100, 45 of the world's top 50 banks, 8 of the top 10 insurers, 7 of the top 10 global retailers and 8 out of the top 10 telcos as a highly secured platform for running their most mission-critical workloads.

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. In recent years, data has been the world's hottest commodity. Money has gravitated towards companies that collect it, companies that analyse it, and the data infrastructure companies that provide the digital plumbing that makes it all possible. In the last five years, data infrastructure startups alone have raised over $8 billion of venture capital, at an aggregate value of $35 billion. We know the names of the biggest companies in the space; they include Databricks, Snowflake, Confluent, MongoDB, Segment, Looker, and Oracle.

In a major refresh of its Z Series chips, IBM is adding on-chip AI acceleration capabilities to allow enterprise customers to perform deep learning inferencing while transactions are taking place to capture business insights and fight fraud in real-time. IBM is set to unveil the latest Z chip Aug. 23 today (Monday) at the annual Hot Chips 33 conference, which is being held virtually due to the ongoing COVID-19 pandemic. The company provided advance details in a media pre-briefing last week. This will be the first Z chip, used in IBM's System Z mainframes, that won't follow a traditional numeric naming pattern used in the past. Instead of following the previous z15 chip with a z16 moniker, the new processor is being called IBM Telum (telum is Latin for javelin).

What makes Netflix so good at predicting movies you'll like? A recommendation algorithm based on your viewing history, and the viewing histories of others like you, of course. While consumer technology is rife with such technology, HarrisData president Lane Nelson sees a future when ERP applications augmented with machine learning algorithms can automate nearly all of the back-office decisions currently made by people. Machines have been taking over the back-office since the days of the typewriter. But the next wave of innovation occurring around big data analytics and machine learning will likely make the transition to a people-less office nearly complete, according to Nelson, who's also holds the title of chief evangelist at HarrisData, the Brookfield, Wisconsin-based provider of enterprise software that runs on IBM i. "Automation is coming at the back office. It has been for 10 years at least," Nelson tells IT Jungle.

It's easy to get caught up in the newspaper headlines and online media negativity around the rise of artificial intelligence (AI) displacing human jobs across all industries. After all, the potential impact, particularly on repetitive processes and manual tasks, is all too real. A much-cited 2013 study from Oxford University's Carl Frey and Michael Osborne estimates that 47 percent of U.S. jobs will be replaced by robots and automated technology in the next 10 to 20 years. And, according to a March 2017 PwC report, 32 percent of jobs in the financial and insurance sector could be rendered obsolete due to advances in automation and artificial intelligence. But let's veer away from the negative for a moment.

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