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Big Data Exchange enters Indonesian data centre market with joint venture deal

ZDNet

Eileen Yu began covering the IT industry when Asynchronous Transfer Mode was still hip and e-commerce was the new buzzword. Currently an independent business technology journalist and content specialist based in Singapore, she has over 20 years of industry experience with various publications including ZDNet, IDG, and Singapore Press Holdings. Big Data Exchange (BDx) has marked its entry into Indonesia's data centre market through a joint venture agreement with PT Indosat and the latter's two subsidiaries. The move aims to tap increasing demand for cloud services and connectivity. Estimated to be worth $300 million, the deal would see BDx enter a conditional sale and purchase agreement of shares (CSPA) and establish a joint venture with PT Indosat, PT Aplikanusa Lintasarta, and PT Starone Mitra Telekomunikasi (SMT). Under the agreement, BDx, Indosat, and Lintasarta would set up data centre and cloud operations in the Asian market, BDx said in a statement Thursday.


Best Predictive Analytics Tools and Software 2022

#artificialintelligence

Managing data has always been a challenge for businesses. With new sources and higher volumes of data coming in all the time, it's more important than ever to have the right tools in place. Predictive analytics tools and software are the best way to accomplish this task. Data scientists and business leaders must be able to organize data and clean it to get the process started. The next step is analyzing it and sharing the results with colleagues.


Farewell ZDnet: Data remains the lifeblood of innovation

ZDNet

It's been a wild ride over the past six years as ZDNet gave us the opportunity to chronicle how, in the data world, bleeding edge has become the norm. In 2016, Big Data was still considered the thing of early adopters. Machine learning was confined to a relative handful of Global 2000 organizations, because they were the only ones who could afford to recruit teams from the limited pool of data scientists. The notion that combing through hundreds of terabytes or more of structured and variably structured data would become routine was a pipedream. When we began our part of Big on Data, Snowflake, which cracked open the door to the elastic cloud data warehouse that could also handle JSON, was barely a couple years post stealth. In a short piece, it's going to be impossible to compress all the highlights of the last few years, but we'll make a valiant try.


Machine Learning with Remote Sensing in Google Earth Engine

#artificialintelligence

Learn to apply machine learning, remote sensing, big spatial data using the Google Earth Engine cloud computing. Do you want to learn how to access, process and analyze remote sensing data using open source cloud-based platforms? Do you want to master machine learning algorithms to predict Earth Observation big data? Do you want to start a spatial data scientist career in the geospatial industry? Enroll in my new course to master Machine Learning with Remote Sensing in Google Earth Engine.


Access role-based Google Cloud training free of charge

#artificialintelligence

Google Cloud is now offering 30 days no-cost access to Google Cloud Skills Boost, the definitive destination for skills development, to complete role-based training. Choose from the following eight learning paths, which include interactive labs and opportunities to earn skill badges to demonstrate your cloud knowledge: Getting Started with Google Cloud, Cloud Architect, Cloud Engineer, Data Analyst, Data Engineer, DevOps Engineer, Machine Learning Engineer and Cloud Developer learning path. Read below to find out more about each learning path. In this path, you'll learn about Google Cloud fundamentals such as core infrastructure, big data and machine learning (ML). You'll also find out how to write gcloud commands, use Cloud Shell, deploy virtual machines, and run containerized applications on Google Kubernetes Engine (GKE).


IT Leaders Consider Security Tech a Part of Business Transformation

#artificialintelligence

With new threats disrupting business operations and an increasingly strict regulatory environment, security is no longer a risk mitigation activity or a growth inhibitor. Rather, information security is increasingly being viewed as strategic business enabler for the enterprise. That is evident in IDG's 2022 State of the CIO Survey, where IT leaders and line of business (LOB) executives were asked which technologies they expected to have the greatest effect on how their company functions over the next few years. While the respondents list the usual suspects – big data/analytics, AI/machine learning, and cloud infrastructure – in the top 3, 19% say identity and access management has the most potential to significantly impact business operations. In a distributed world, identity and access management (IAM) is instrumental in managing security in a cloud-based world, which makes its placement between cloud infrastructure and cloud databases (picked by 17% of respondents) appropriate.


IDC MarketScape for Worldwide Artificial Intelligence IT Services: HPE is a Leader

#artificialintelligence

I am proud of our teams for achieving a leadership position in the recent IDC MarketScape: Worldwide Artificial Intelligence IT Services 2021 Vendor Assessment. AI IT services are a highly strategic offering for HPE, the edge-to-cloud company. I'd like to share some interesting findings from the report that validate what we hear from our customers, along with the link to the full report, below, for your convenience. As IDC's Jennifer Hamel, research manager for Analytics and Intelligent Automation Services, notes in the report: "As customers look to operationalize AI, providers with a broad range of offerings to assess, deploy, operate, and support AI solutions, as well as expertise in data and platform engineering, rapid innovation, trustworthy AI, MLOps, and security, are best positioned to help customers adopt and sustain AI solutions at enterprise scale." The IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of ICT suppliers in a given market.


The 100 Most Disruptive Companies to Watch In 2021

#artificialintelligence

Disruptive technology is the technology that affects the normal operation of a market or an industry. Digital disruption entails established companies and start-ups alike enlisting new technologies in the fight to dislodge incumbents, protect entrenched positions, or to re-invent entire industries and business activities. And to remain disruptive in the market, it is really important to keep innovating. This is crucial because, innovations occur now and then in every industry, however, to be truly disruptive, and innovation must entirely transform a product or solution that historically was so complicated only a few could access it. On a minimum level, digital transformation enables an organization to address the needs of its customers more simply and directly. But through disruptive innovation, companies can offer a far better way to users of doing things that current incumbents simply cannot compete with. Artificial intelligence (AI), E-Commerce, cloud, social networking, Internet of Things, 5G, blockchain and other emerging technologies are being leveraged to blur the lines between industries, creating new business models and converging sectors. A company that disrupts its market is in a great position to take advantage of new opportunities. Sometimes offering something different can change the whole market for the better. Most of the top disruptive companies get this label by offering highly innovative products and services and here are 100 such top disruptive companies listed below. The company provides innovative, managed cloud services to help its customers succeed. With best-in-class service and technology, 403Tech protects companies against cybercrimes while enabling greater efficiency and productivity. Some of its popular services include desktop support, server support, wired and wireless networking, virus removal, data recovery, and backup and hosted cloud services. Aegeus Technologies aims to design and develop robotic technologies and solutions.


Big Data Industry Predictions for 2022 - insideBIGDATA

#artificialintelligence

As a result, all major cloud providers are either offering or promising to offer Kubernetes options that run on-premises and in multiple clouds. While Kubernetes is making the cloud more open, cloud providers are trying to become "stickier" with more vertical integration. From database-as-a-service (DBaaS) to AI/ML services, the cloud providers are offering options that make it easier and faster to code. Organizations should not take a "one size fits all" approach to the cloud. For applications and environments that can scale quickly, Kubernetes may be the right option. For stable applications, leveraging DBaaS and built-in AI/ML could be the perfect solution. For infrastructure services, SaaS offerings may be the optimal approach. The number of options will increase, so create basic business guidelines for your teams.


Global Big Data Conference

#artificialintelligence

Five years ago, one of Telenor's top boffins feared that Google, Amazon and Facebook were set to become an unstoppable force in artificial intelligence (AI). "There is a real risk that the most fundamental technology of the 21st century will be dominated by a few large companies, unless we take the necessary steps," said Bjørn Taale Sandberg, the Norwegian telco's head of research. For Telenor, the necessary steps meant investing in its own AI lab and backing the right startups. Conversely, it is hard to see how a strategic partnership with one of the AI bogeymen would produce alternatives to them. But that is what Telenor did five years after Sandberg first warned of an AI oligopoly, announcing a Google Cloud tie-up today. Among other things, it will be "exploring how to leverage" Google's AI expertise.