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SAP and NVIDIA to Accelerate Generative AI Adoption Across Enterprise Applications Powering Global Industries

Retrieved on:

Tuesday, March 19, 2024

Cloud, GTC, Organization, ABAP, Data science, SAP, Partnership, RAG, Gold, NVDA, AI, Machine learning, SAP SuccessFactors, Maple syrup

SAP will use NVIDIA's generative AI foundry service to fine-tune LLMs for domain-specific scenarios and deploy applications with new NVIDIA NIM(TM) microservices.

Key Points:

SAP will use NVIDIA's generative AI foundry service to fine-tune LLMs for domain-specific scenarios and deploy applications with new NVIDIA NIM(TM) microservices.
SAP and NVIDIA plan to collaborate to integrate generative AI into cloud solutions from SAP, which include the latest release of the SAP Datasphere solution, SAP Business Technology Platform (SAP BTP) and RISE with SAP.
SAP plans to build additional generative AI capabilities within SAP BTP using NVIDIA's generative AI foundry service, featuring NVIDIA DGX(TM) Cloud AI supercomputing, NVIDIA AI Enterprise software and NVIDIA AI Foundation models.
Once models are ready for deployment in cloud solutions from SAP, SAP plans to use NVIDIA AI Enterprise software, including NVIDIA NIM inference microservices and NVIDIA NeMo Retriever(TM) microservices.

Emerging Markets Report: Follow the Leader

Retrieved on:

Tuesday, April 9, 2024

Diagnosis, Disease, Biomedical Research, Patient, HPC, Health care, Artificial intelligence, NVDA, AI, WELL, A.I, TSX, Inflammatory bowel disease, Love, NVIDIA, Map, AIDX, Medicine, Medical device

ORLANDO, Fla., April 09, 2024 (GLOBE NEWSWIRE) -- For some time now the market has been in love with Nvidia (NVDA), the behemoth stock which has been to say the least, a bell cow for the market. And while we don’t discuss actual share prices in our pages, preferring to focus instead on the items that historically drive favorable valuations, Nvidia’s price appreciation has been remarkable and is, powered by their revenue growth and the public’s attraction to Artificial Intelligence technology.

Key Points:

And we believe that the intersection of Health Care and Artificial Intelligence is the first half of that formula.
With NVIDIA, healthcare institutions can harness the power of AI and high-performance computing (HPC) to define the future of medicine.
If the revenue trend continues, analysts, partners, and market interests may follow.
And HEALWELL is certainly following the leader, acquiring and developing potentially lucrative Healthcare A.I.

YieldMax™ ETFs Announces Monthly Distributions on MSTY (120.57%), CONY (119.30%), NVDY (106.86%), AMDY (65.04%), FBY (61.10%) and Others

Retrieved on:

Wednesday, April 3, 2024

ARK, MSFT, COIN, Risk, History, Sale, Lovell Minnick Partners, Trust, Investment, ETF, Adviser, AAPL, Funding, TSLA, Capital gain, Prospectus, SQ, PYPL, JPM, NAV, MRNA, AI, NFLX, AMD, GOOY, Government, Unitary state, GOOGL, NVDA, TRUST, XOM, MSTR, AMZN, DIS, Security (finance)

The Distribution Rate is calculated by multiplying an ETF’s Distribution per Share by twelve (12), and dividing the resulting amount by the ETF’s most recent NAV.

Key Points:

The Distribution Rate is calculated by multiplying an ETF’s Distribution per Share by twelve (12), and dividing the resulting amount by the ETF’s most recent NAV.
The Distribution Rate and 30-Day SEC Yield are not indicative of future distributions, if any, on the ETFs.
Distributions for the ETFs (if any) are variable and may vary significantly from month to month and may be zero.
If the Fund does make distributions, the amounts of such distributions will likely vary greatly from one distribution to the next.

Global A.I. Healthcare Market Expected to Expand at CAGR of 36.4% From 2024 to 2030

Retrieved on:

Tuesday, April 9, 2024

PALM BEACH, Fla., April 9, 2024 /PRNewswire/ -- Experts universally see that the AI in the healthcare market will continue to reach new highs throughout this decade. A report from Grand View Research said that the global AI in healthcare market size was estimated at USD 22.45 billion in 2023 and is expected to expand at a compound annual growth rate (CAGR) of 36.4% from 2024 to 2030. The report said: "Growing datasets of patient health-related digital information, increasing demand for personalized medicine, and rising need to reduce care expenses are some major drivers of market growth. The rising global geriatric population, changing lifestyles, and increasing prevalence of chronic diseases have contributed to a growth in demand for diagnosing and improved understanding of diseases in their initial stages. Artificial Intelligence (AI) and machine learning (ML) algorithms are being widely adopted and integrated into healthcare systems to accurately predict diseases in their early stage based on historical health datasets. Furthermore, deep learning technologies, predictive analytics, content analytics, and natural language processing (NLP) tools are enabling care professionals to diagnose patient's underlying health conditions at an earlier stage. The COVID-19 pandemic positively influenced the demand for AI technologies and unearthed the potential of these advanced technologies. Healthcare systems widely adopted these technologies in the rapid diagnosis and detection of different virus strains and utilized personalized information in improving the management of the outbreak. AI/ML algorithms were utilized in the diagnosis sector wherein these technologically driven modules were trained with datasets of chest CT images, symptoms, pathological findings, and exposure history to diagnose COVID-19-positive patients rapidly and accurately." Active tech companies in the markets this week include: Avant Technologies, Inc. (OTCQB: AVAI), NVIDIA Corporation (NASDAQ: NVDA), SoundHound AI, Inc. (NASDAQ: SOUN), CXApp Inc. (NASDAQ: CXAI), Marvell Technology, Inc. (NASDAQ: MRVL).

Key Points:

A report from Grand View Research said that the global AI in healthcare market size was estimated at USD 22.45 billion in 2023 and is expected to expand at a compound annual growth rate (CAGR) of 36.4% from 2024 to 2030.
The COVID-19 pandemic positively influenced the demand for AI technologies and unearthed the potential of these advanced technologies.
Healthcare systems widely adopted these technologies in the rapid diagnosis and detection of different virus strains and utilized personalized information in improving the management of the outbreak.
This potent combination empowers healthcare and life sciences organizations to navigate the complexities of data and system interoperability with unprecedented efficiency.

Global A.I. Healthcare Market Expected to Expand at CAGR of 36.4% From 2024 to 2030

Retrieved on:

Tuesday, April 9, 2024

PALM BEACH, Fla., April 9, 2024 /PRNewswire/ -- Experts universally see that the AI in the healthcare market will continue to reach new highs throughout this decade. A report from Grand View Research said that the global AI in healthcare market size was estimated at USD 22.45 billion in 2023 and is expected to expand at a compound annual growth rate (CAGR) of 36.4% from 2024 to 2030. The report said: "Growing datasets of patient health-related digital information, increasing demand for personalized medicine, and rising need to reduce care expenses are some major drivers of market growth. The rising global geriatric population, changing lifestyles, and increasing prevalence of chronic diseases have contributed to a growth in demand for diagnosing and improved understanding of diseases in their initial stages. Artificial Intelligence (AI) and machine learning (ML) algorithms are being widely adopted and integrated into healthcare systems to accurately predict diseases in their early stage based on historical health datasets. Furthermore, deep learning technologies, predictive analytics, content analytics, and natural language processing (NLP) tools are enabling care professionals to diagnose patient's underlying health conditions at an earlier stage. The COVID-19 pandemic positively influenced the demand for AI technologies and unearthed the potential of these advanced technologies. Healthcare systems widely adopted these technologies in the rapid diagnosis and detection of different virus strains and utilized personalized information in improving the management of the outbreak. AI/ML algorithms were utilized in the diagnosis sector wherein these technologically driven modules were trained with datasets of chest CT images, symptoms, pathological findings, and exposure history to diagnose COVID-19-positive patients rapidly and accurately." Active tech companies in the markets this week include: Avant Technologies, Inc. (OTCQB: AVAI), NVIDIA Corporation (NASDAQ: NVDA), SoundHound AI, Inc. (NASDAQ: SOUN), CXApp Inc. (NASDAQ: CXAI), Marvell Technology, Inc. (NASDAQ: MRVL).

Key Points:

A report from Grand View Research said that the global AI in healthcare market size was estimated at USD 22.45 billion in 2023 and is expected to expand at a compound annual growth rate (CAGR) of 36.4% from 2024 to 2030.
The COVID-19 pandemic positively influenced the demand for AI technologies and unearthed the potential of these advanced technologies.
Healthcare systems widely adopted these technologies in the rapid diagnosis and detection of different virus strains and utilized personalized information in improving the management of the outbreak.
This potent combination empowers healthcare and life sciences organizations to navigate the complexities of data and system interoperability with unprecedented efficiency.

Global A.I. Healthcare Market Size Estimated To Reach $148.4 Billion By 2029

Retrieved on:

Wednesday, March 20, 2024

Generating extensive and intricate healthcare datasets is a pivotal driver for AI in the healthcare Market.

Key Points:

Generating extensive and intricate healthcare datasets is a pivotal driver for AI in the healthcare Market.
Integrating big data analytics and AI promises to revolutionize healthcare processes, enhancing accuracy and efficiency.
A report from MarketsAndMarkets projected that the global AI in Healthcare market size was valued at USD 20.9 billion in 2024 and is estimated to reach USD 148.4 billion by 2029, registering a CAGR of 48.1% during the forecast period.
This will boost the Company’s sales and execution capabilities within the healthcare sector, which has become a booming market for AI research, development, and adoption.

Global Artificial Intelligence Market Expected to Grow to $1.3 Trillion by 2023

Retrieved on:

Monday, March 18, 2024

A report from MarketsAndMarkets said that the global artificial intelligence market size was valued at USD 150.2 billion in 2023 and is expected to grow at a CAGR of 36.8% from 2023 to 2030.

Key Points:

A report from MarketsAndMarkets said that the global artificial intelligence market size was valued at USD 150.2 billion in 2023 and is expected to grow at a CAGR of 36.8% from 2023 to 2030.
The report added: “The increasing adoption of autonomous artificial intelligence (AI) is driving the growth of the Artificial Intelligence Industry.
As technology advances and more industries recognize its benefits, the Artificial Intelligence (AI) Market size is poised for expansion, fostering innovation and new opportunities.” Active A.I.
MarketsAndMarkets continued: “The exponential ai growth statistics of digital data from various sources presents immense opportunities for the AI market.

AWS and NVIDIA Extend Collaboration to Advance Generative AI Innovation

Retrieved on:

Monday, March 18, 2024

“Our collaboration with AWS is accelerating new generative AI capabilities and providing customers with unprecedented computing power to push the boundaries of what's possible."

Key Points:

“Our collaboration with AWS is accelerating new generative AI capabilities and providing customers with unprecedented computing power to push the boundaries of what's possible."
Announced at AWS re:Invent 2023, Project Ceiba is a collaboration between NVIDIA and AWS to build one of the world’s fastest AI supercomputers.
NVIDIA research and development teams will use Ceiba to advance AI for LLMs, graphics (image/video/3D generation) and simulation, digital biology, robotics, self-driving cars, NVIDIA Earth-2 climate prediction, and more to help NVIDIA propel future generative AI innovation.
AWS and NVIDIA have joined forces to offer high-performance, low-cost inference for generative AI with Amazon SageMaker integration with NVIDIA NIM inference microservices, available with NVIDIA AI Enterprise.

SAP and NVIDIA to Accelerate Generative AI Adoption Across Enterprise Applications Powering Global Industries

Retrieved on:

Monday, March 18, 2024

Cloud, Organization, ABAP, Data science, Partnership, RAG, Gold, SAP, NVDA, AI, Machine learning, Maple syrup

WALLDORF, Germany and SANTA CLARA, Calif., March 18, 2024 /PRNewswire/ -- SAP SE (NYSE: SAP) and NVIDIA (NASDAQ: NVDA) today announced a partnership expansion focused on accelerating enterprise customers' ability to harness the transformative power of data and generative AI across SAP's portfolio of cloud solutions and applications.

Key Points:

The companies are collaborating to build and deliver SAP Business AI, including scalable, business-specific generative AI capabilities inside the Joule® copilot from SAP and across SAP's portfolio of cloud solutions and applications – all of which are underpinned by the SAP generative AI hub.
SAP and NVIDIA plan to collaborate to integrate generative AI into cloud solutions from SAP, which include the latest release of the SAP Datasphere® solution, SAP Business Technology Platform® (SAP BTP) and RISE with SAP®.
SAP plans to build additional generative AI capabilities within SAP BTP using NVIDIA's generative AI foundry service, featuring NVIDIA DGX ™ Cloud AI supercomputing, NVIDIA AI Enterprise software and NVIDIA AI Foundation models.
Once models are ready for deployment in cloud solutions from SAP, SAP plans to use NVIDIA AI Enterprise software, including NVIDIA NIM inference microservices and NVIDIA NeMo Retriever™ microservices.

YieldMax™ ETFs Announces Monthly Distributions on NVDY (101.70%), CONY (74.88%), AIYY (70.25%), AMDY (69.08%), MRNY (66.96%) and Others

Retrieved on:

Tuesday, March 5, 2024

ARK, NFLX, GOOY, SQ, Investment, Sale, ETF, History, Unitary state, GOOGL, Lovell Minnick Partners, JPM, Capital gain, PYPL, COIN, DIS, AAPL, MSFT, AMZN, XOM, AMD, TSLA, NVDA, TRUST, Funding, Adviser, Risk, MRNA, Prospectus, AI, NAV, Government, MSTR, Trust, Security (finance)

The Distribution Rate is calculated by multiplying an ETF’s Distribution per Share by twelve (12), and dividing the resulting amount by the ETF’s most recent NAV.

Key Points:

The Distribution Rate is calculated by multiplying an ETF’s Distribution per Share by twelve (12), and dividing the resulting amount by the ETF’s most recent NAV.
The Distribution Rate and 30-Day SEC Yield are not indicative of future distributions, if any, on the ETFs.
Distributions for the ETFs (if any) are variable and may vary significantly from month to month and may be zero.
If the Fund does make distributions, the amounts of such distributions will likely vary greatly from one distribution to the next.