Tag: ML

Cloud Computing Leave a comment

The Role of AI, ML, and IoT in Digital Transformation

Source:-https://www.business2community.com/ A lot of noise and misunderstanding exists in the user marketplace about what digital transformation is, and the roles that artificial intelligence (AI), machine learning (ML) and the Internet of Things (IoT) play in implementing it. Digital transformation is of major importance to businesses and organizations. Alphabet, a driving force in the digital marketplace, reported record profits in the second fiscal quarter of 2021 based on very strong digital ad sales, internet searches, and the growth of cloud services.

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Continuous Deployment Leave a comment

AI Automation Won’t Replace Jobs – It Will Replace Processes

Source:-https://devops.com When it comes to new AI automation, the Software 2.0 movement can be seen as akin to the auto industry’s recent evolution. Beginning in the 1990s and rapidly progressing into the 2000s, the auto industry saw a huge rise in AI automation such as digital vehicle diagnostics. Throughout this, people worried that digital transformation might take jobs away, when instead it led to “greater profits, productivity, and competitiveness,” according to a 2008 study by the journal of Technological Forecasting

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Continuous Deployment Leave a comment

Artificial Intelligence (A.I.) Job Trends Important to Watch in 2021

Source:-https://insights.dice.com The use of artificial intelligence (A.I.) and machine learning (ML), technologies that help people and organizations handle customer personalization and communication, data analytics and processing, and a host of other applications continues to grow. An IDC report found three-quarters of commercial enterprise applications could lean on A.I. by next year alone, while an Analytics Insight report projects more than 20 million available jobs in artificial intelligence by 2023. Due to A.I. and ML’s transformational reach, specialists with the right

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Continuous Deployment Leave a comment

Next-generation Cloud RAN management and orchestration

Source:-https://www.ericsson.com As the global telecoms industry begins to deploy 5G networks, technologies such as cloud-native RAN and automation platforms will play major roles in their evolution. In this blog post, we’ll cover impact on management and orchestration, the challenges that emerge, our view on the future of management and orchestration and what Ericsson brings to the table. 5G evolution realizing new values 5G is more than radio and core. It encompasses virtualization, management and orchestration, transport, software-defined networking (SDN), and

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Google Cloud Leave a comment

Google Cloud’s Latest AI, ML Updates and More

Source:-https://www.uctoday.com Artificial intelligence is used in loads of business scenarios. In some instances, organizations use data and machine learning to solve some of their most challenging problems, and have seen incredible returns. According to McKinsey Global Institute, the companies that absorb AI in their workflows by 2025 are set to dominate the 2030 world economy. McKinsey even forecasts colossal growth, predicting 120 percent above cash-flow increases, a fairly significant number that Google Cloud hopes to capitalize on. Recently the cloud

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Continuous Integration Leave a comment

Attunity automates streaming data pipelines for AI, ML

Source:- itbrief.com.au. Data integration and big data management solutions provider Attunity has released an analytics platform designed to automate streaming data pipelines for AI, ML, and data science initiatives. According to Attunity, data engineering teams struggle to keep up with demand for real-time data sets for machine learning applications. In addition, data integration and migration can be a manually intensive and complex endeavour; challenging to assemble and often resulting in outdated data when it is finally ready for data scientists. Attunity

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