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What Is Artificial Intelligence Really and When Will It Matter for Events?

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"Artificial intelligence" is a popular marketing buzzword that's made its way to the event industry as event tech providers add and promote more AI features. What is artificial intelligence, and when should you care? Artificial Intelligence (AI) and machine learning technology have come a long way in recent years, and they have a wide range of applications. However, there are some common misconceptions about what AI actually is, having often become synonymous with automation or, more generally, thoughtful computer programming. In the event industry in particular, more and more event tech offerings now market AI features.


Libonomy rating by Coinstelegram.Fund - Coinstelegram

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Blockchain technologies are one of the leading directions for the development of our world. The decentralized registry and the capabilities it provides have revolutionized the concept of finance, security, and independence of data operations in just a few years. To date, hundreds of billions of dollars are invested in the development of blockchain projects around the world. Even states appreciated all the advantages of this technology, and began to develop their own cryptocurrencies, or transfer some state institutions to the blockchain. Today we will tell you about a project whose main goal was to create a new generation blockchain.


Algorithms in the Financial Services industry - The right choice for the right problem

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Optimization problems: this is still a bit of an unexplored and immature domain, with little (user-friendly) tooling available, like I also mentioned in one of my previous blogs. Interesting names to look at are JuMP (based on Julia language), ADMB, GLPK, OpenMDAO, Motulus, OptaPlanner… However all those tools are still rather complex and therefore still difficult to use for non-specialized developers.


What is Azure Synapse and how is it different from Azure Data Bricks?

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Azure Synapse Analytics is an unlimited information analysis service aimed at large companies that was presented as the evolution of Azure SQL Data Warehouse (SQL DW), bringing together business data storage and macro or Big Data analysis. Synapse provides a single service for all workloads when processing, managing and serving data for immediate business intelligence and data prediction needs. The latter is made possible by its integration with Power BI and Azure Machine Learning, due to Synapse's ability to integrate mathematical machine learning models using the ONNX format. It provides the freedom to handle and query huge amounts of information either on demand serverless (a type of deployment that automatically scales power on demand when large amounts of data are available) for data exploration and ad hoc analysis, or with provisioned resources, at scale. As one of the few Microsoft's Power BI partners in Spain, at Bismart we have a large experience working with both Power BI and Azure Synapse.


First ship controlled by artificial intelligence prepares for maiden voyage

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The "Mayflower 400", the world's first intelligent ship, bobs gently in a light swell as it stops its engines in Plymouth Sound, off England's southwest coast, before self-activating a hydrophone designed to listen to whales. The 50-foot (15-metre) trimaran, which weighs nine tonnes and navigates with complete autonomy, is preparing for a transatlantic voyage. On its journey, the vessel, covered in solar panels, will study marine pollution and analyse plastic in the water, as well as track aquatic mammals. Eighty per cent of the underwater world remains unexplored. Brett Phaneuf, the co-founder of the charity ProMare and the mastermind behind the Mayflower project, said the ocean exerts "the most powerful force" on the global climate.


Redis Labs unveils Redis Database 7.0

ZDNet

At its annual user conference this week, Redis Labs is disclosing the roadmap for Redis 7.0, the database pillar of Redis Enterprise, which will become generally available later in the year. The common thread among the new features and enhancements include expansion of multimodel database support; converged capabilities for managing and deploying AI/machine learning models in-database; and new features supporting stronger database consistency. The context for all this is that Redis is the most popular in-memory database, and one of the top ten ranked databases overall, according to db-Engines. Redis claims that in the AWS cloud, it is the most frequently used data platform -- at 28% of customers, outranking MySQL, PostgreSQL, DynamoDB, MongoDB, and others. And, as measured by monitoring provider DataDog, Redis is the most frequented data platform image running in Kubernetes StatefulSets.


With lower launch costs, Japan's next-gen H3 rocket aims for global success

The Japan Times

Japan's mainstay next-generation H3 rocket, developed by Mitsubishi Heavy Industries Ltd. and the Japan Aerospace Exploration Agency (JAXA), is now in the final stages of preparation for its first launch, to be conducted by the end of March 2022. By keeping the launch cost of each rocket at half the conventional price, at ¥5 billion, developers aim to attract a wide range of commercial demand, including launching satellites for organizations overseas. But with foreign companies such as U.S.-based SpaceX ahead of the game in offering low-cost rocket transport, some are asking whether there are opportunities for Japanese rockets to compete against their overseas rivals. On March 17, the first test model of the H3 rocket made its debut at the launch site at the Tanegashima Space Center in Kagoshima Prefecture, as it was assembled, received fuels and underwent checking procedures down to the countdown just before the rocket launch. JAXA celebrated the milestone, saying it had overcome one of the "biggest mountains."


"A Citizen's Guide To Artificial Intelligence": A Nice Focus On The Societal Impact Of AI

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"A Citizen's Guide to Artificial Intelligence," by a cast of thousands (John Zerilli, John Danaher, James Maclaurin, Colin Gavaghan, Alistair Knott, Joy Liddicoat, and Merel Noorman) is a nice high level view of some of the issues surrounding the adoption of artificial intelligence (AI). The author bios describe them as all lawyers and "philosophers" except for Noorman, and with that crowd it's no surprise the book is much better at discussing the higher level impacts than AI itself. Luckily, there's a whole lot more of the latter than there is the former. The real issue is they're better at explaining things than at coming to logical conclusions. We'll get to that, but it's still a useful read.


Northrop's servicing robot extends the life of an orbiting satellite by five years

Engadget

Intelsat's IS-10-02 communications satellite was running low on fuel -- it's been in orbit since 2004, after all, and has already exceeded its original mission lifespan by five years. Thanks to Northrop Grumman's Mission Extension Vehicle-2 (MEV-2), however, it gained another five years of life and will stay operational instead of being decommissioned. MEV-2 launched in August and has been making its way to the satellite in geosynchronous orbit since then. On Monday, it caught up to its target and clamped onto it to provide the IS-10-02 with more fuel. According to TechCrunch, a representative described the robotic spacecraft as a "jetpack for the 10-02 satellite."


How businesses can use AI to get personalisation right - Information Age

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Without doubt, personalisation has huge benefits. When done well, the return on investment is significant. Recent research conducted by Wunderman Thompson Technology revealed that 35% of consumers are willing to give more of their personal data to brands if it improves the online experience. They value their data being used to provide loyalty-based discounts (55%), to be shown products tailored to their requirements (36%) and to be served offers based on their preferences (33%). When first party data is willingly exchanged, providing customers with these kinds of personalised experiences clearly adds value.