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2023-11-09 06:00:56 - Translate

Embracing Quantum Machine Learning to Break Through Computational Barriers
In our previous articles, we have highlighted how machine learning (ML) and artificial intelligence (AI) can revolutionize IT organizations. But there is another very powerful resource that has the potential to change the traditional way of computing, which is called quantum computing (QC). In today’s article, we will highlight how to overcome computing limitations with quantum machine...

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2023-11-16 06:21:10 - Translate

Harnessing the Power of Quantum Computing for Enhanced Machine Learning
Quantum computing (QC) and machine learning (ML) are the two most hot technologies that are being adopted in the IT field. QC has the power of quantum physics to perform computation by providing an unprecedented level of scalability and accuracy; on the other hand, ML has deep learning capabilities and intelligent automation as leverage to scale out large data sets. Thus, the combination of...

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2023-10-09 07:07:44 - Translate

Intelligent Decisions With Machine Learning
In the fast-moving business world, IT professionals and enthusiasts cannot ignore the use of machine learning (ML) in their companies. Machine learning tends to give a better insight into improving business performance, like understanding trends and patterns that human eyes generally miss out on. Thus, Machine learning (ML) and artificial intelligence (AI) aren’t just words; rather,...

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2023-04-11 08:44:01 - Translate

Machine Learning as a Service (MLaaS) Market Emerging Audience, Segments, Sales, Profits, Analysis, Size and Statistics
Market Research Future Insights According to MRFR analysis, the global Machine Learning as a Service (MLaaS) market share is expected to register a CAGR of 36.2% from 2021 to 2030 and hold a value of over $302.66 billion by 2030. Machine Learning as a Service (MLaaS) is a type of cloud service that enables developers and businesses to leverage the power of machine learning without...

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2023-03-06 12:12:47 - Translate

Machine Learning as a Service (MLaaS) Market is Projected to Register at a CAGR of 36.2% by 2030
Market Research Future Insights According to MRFR analysis, the global Machine Learning as a Service (MLaaS) market is expected to register a CAGR of 36.2% from 2022 to 2030 and hold a value of over $302.66 billion by 2030. Machine Learning as a Service (MLaaS) is a type of cloud service that enables developers and businesses to leverage the power of machine learning without the...

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2023-04-24 09:16:51 - Translate

Machine Learning as a Service (MLaaS) Market Regional Analysis, Key Players, Industry Segments, Development, Opportunities, Forecast to 2030
Market Research Future Insights According to MRFR analysis, the global Machine Learning as a Service (MLaaS) market growth is expected to register a CAGR of 36.20% from 2023 to 2032 and hold a value of over $ 304.82 billion by 2032. Machine Learning as a Service (MLaaS) is a type of cloud service that enables developers and businesses to leverage the power of machine learning...

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2024-05-31 04:45:52 - Translate

Machine Learning Market Size- Industry Share, Growth, Trends and Forecast 2032
Unveiling the Dynamics of the Machine Learning Market: A Comprehensive Analysis In the digital era, Machine Learning (ML) has emerged as a transformative technology, revolutionizing the way businesses analyze data, automate processes, and make decisions. The ML market is experiencing exponential growth, driven by the increasing adoption of AI-driven solutions across various industries. In this...

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2024-05-16 08:12:27 - Translate

Machine Learning-as-a-Service Market Size to Reach US$ 32.0 billion by 2030
The market size of the machine learning-as-a-service (MLaaS) was USD 2.2 billion in 2021. It is estimated to reach USD 32.0 billion by 2030, registering a CAGR of 39.8% from 2022-2030. Below information is analyzed in depth in the report- Global Machine Learning-as-a-Service Market Revenue, 2018-2023, 2024-2033, (US$ Millions) Global Machine Learning-as-a-Service Market...

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2024-01-30 11:54:02 - Translate

Machine Learning-as-a-Service Market will reach at a CAGR of 39.8% from to 2030
The market size of the machine learning-as-a-service (MLaaS) was USD 2.2 billion in 2021. It is estimated to reach USD 32.0 billion by 2030, registering a CAGR of 39.8% from 2022-2030 Below information is analyzed in depth in the report- Global Machine Learning-as-a-Service Market Revenue, 2018-2023, 2024-2033, (US$ Millions) Global Machine Learning-as-a-Service...

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2023-05-17 05:35:51 - Translate

Machine Learning-as-a-Service Market Worth US$ 32.0 billion by 2030
The market size of the machine learning-as-a-service (MLaaS) was USD 2.2 billion in 2021. It is estimated to reach USD 32.0 billion by 2030, registering a CAGR of 39.8% from 2022-2030. The report offers a detailed analysis of the industry's market segmentation and regional trends. It highlights the various market segments, sizes, growth prospects, and trends across different...

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martechcubejohn agregó una foto Other
2024-01-31 06:45:53 - Translate

AI in Healthcare: Revolutionizing Healthcare Policy is the New Norm
We live in an ecosystem where we desire a personalized experience, from music to web series, and the products and services we purchase are often recommended to us based on the data that is collected by these websites or applications. This ability lets us understand our needs and wants for a better living experience. Similarly, in the healthcare industry, we can monitor our health and get...

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2024-10-11 06:54:06 - Translate

AI Transforming Healthcare: A New Era for Policy Innovation
We live in an ecosystem where personalization is central to our experiences, whether it’s the music we listen to, the shows we watch, or the products and services recommended to us. These recommendations are often based on data collected by websites and apps, helping us understand our preferences for an improved quality of life. Similarly, in healthcare, we can monitor our health and...

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2023-07-28 07:12:09 - Translate

AI-Driven Revolution is Boosting Customer Engagement- Segment of One
A recent McKinsey & Co. report found that over 70 percent of customers today expect personalized outreach from the companies they buy from. In fact, more than three out of four points to personalization as the factor most likely to turn them into a repeat customer that’s willing to recommend the product to friends and/or peers. This sends a clear message to companies; there’s no...

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2023-10-31 06:22:55 - Translate

AIOPS Trends with Explainable AI, Auto-Remediation, and Autonomous Operations
AI and AIOps have been transforming the future of the workplace and IT operations, which accelerates digital transformations. The AIOps stands out as it uses machine learning (ML) and big data tracking, such as root cause analysis, event correlations, and outlier detection. According to the survey, large organizations have been solely relying on AIOps to track their performance. Thus, it is an...

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2023-08-29 09:38:39 - Translate

AITech Interview with Conrado Viña, Founding Partner at Qubika
Kindly brief us about yourself and your professional journey as the Founding Partner at Qubika. My Qubika journey began in 2005, as one of the founders of Moove It, a leading technology services provider with multiple locations in the US and South America. We experienced rapid growth, and in 2023 we made the decision to merge with December Labs, with the support of a New York based investment...

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2023-08-18 07:35:56 - Translate

AITech Interview with Ulf Zetterberg, Co-CEO at Sinequa.
Kindly brief us about yourself and your role as the Co-CEO at Sinequa. I’m a serial entrepreneur, business developer and investor inspired by technology that improves the way we work. I’m passionate about human-augmented technologies like AI and machine learning that elevate human productivity and intelligence, rather than replace humans. In 2010, I co-founded Seal Software, a...

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2024-10-16 07:26:55 - Translate

AITech Interview with Yashin Manraj, Chief Executive Officer at Pvotal
with Yashin Manraj, Chief Executive Officer at Pvotal Yashin Manraj, Chief Executive Officer at Pvotal - AITech Interview Chief Executive Officer at Pvotal, Yashin Manraj - AITech Interview Yashin Manraj, CEO of Pvotal, redefines enterprise scalability and security by eliminating tech debt and building resilient systems for future innovation....

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2023-10-09 07:08:13 - Translate

AvaSure CEO, Adam McMullin - AITech Interview
Can you provide an overview of AvaSure’s current use of AI technology in your organization? Absolutely. AvaSure’s TeleSitter® solution enables acute virtual care and remote safety monitoring. Our platform enables virtual team care by combining remote patient sitters, virtual nurses, and other providers in a single enterprise technology solution to enhance clinical care, improve...

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2024-06-05 06:10:33 - Translate

Best AutoML Platforms to Watch in 2024
With the rapid growth in the digital world, organizations are implementing Automated Machine Learning (AutoML) that helps data scientists and MLOps teams automate the training, tuning, and deployment of machine learning (ML) models. This technology will save time and resources for the data scientists and MLOps teams, which will accelerate research on ML and solve specific problems related to ML...

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2024-04-03 07:05:16 - Translate

Beyond Numbers: Unveiling the Power of Data Literacy in the Digital Age
As we have entered the digital era, data and analytics strategies (D&A) have become important, as these technologies can transform any business during a massive data spike. According to global research, it was observed that around 2.5 quintillion bytes of data are produced by IT companies every day; therefore, to understand the importance of data, every employee must be data literate. For...

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