#the AI Index report. The 2024 Index

[younes-ben-amara]

تلخيص تقرير ستانفورد عن الذكاء الاصطناعي (500 صفحة) في أقلَّ من دقيقة 📑⚗️

ما هذه المجموعة من المختارات تسألني؟ إنّها عددٌ من أعداد نشرة “صيد الشابكة” اِعرف أكثر عن النشرة هنا: ما هي نشرة “صيد الشابكة” ما مصادرها، وما غرضها؛ وما معنى الشابكة أصلًا؟! 🎣🌐 🎣🌐 صيد الشابكة العدد #48 مساء السعادة 👋 🎣🌐 صيد الشابكة العدد #48🎙️ شاهدتُ حلقة جديدة من المدونة الصوتية (بودكاست) جو روغان مع تاكر كارلسُن 📑⚗️ تلخيص تقرير ستانفورد عن الذكاء الاصطناعي (500 صفحة) في أقلّ من دقيقة👥 موقع…

[olivercervoni]

Is Palantir the Number One AI Stock?

$PLTR has been one of the hottest topics this year in the world of finance. It has turned the heads of even the most successful investors following its year-to-date jump of over 200% making it one of the highest-growth stocks in the AI sector. Here I will break down all the key events of 2023 leading to Palantir’s success and potential going into 2024 and why I believe Palantir deserves a place in everyone’s portfolio.

In Palantir’s Q2 earnings report, it reported a net income of 28 million with a year-over-year revenue of 13%. However, things just kept getting better for Palantir in 2023.

In Palantir’s Q3 earnings report of 2023, It announced its earnings with a quarterly profit and a net income of $72 million and a revenue improvement of 16.8% compared to Q3 of 2022 revenue. This earnings report demonstrated Palantir’s potential for profitability and a shift towards more profitable commercial contracts.

In October of 2023, Palantir was included in the S&P 500 index, a massive milestone for every American company. This solidified Palantir’s position at the forefront of the AI sector. In 2023 Palantir’s AIP (Artificial Intelligence Platform) showed great potential and was greatly received by customers. This led to Palantir conducting major collaborations with some of the biggest names in finance. One of which is $IBM. IBM and Palantir collaborated to produce IBM Cloud Pak. This product is aimed at helping businesses with operations and improving efficiency.  The IBM Cloud Pak was seen as a very powerful and useful tool for businesses to optimize and can be used in a variety of markets such as healthcare and finance.

Similarly, Palantir collaborated with the giant $AMZN on the AWS sector. This collaboration consisted of Palantir Foundry now being accessible through the AWS infrastructure saving time for businesses to access Palantir making it an even more useful tool for businesses to use giving it leverage over competitors in the market.

Palantir is already collaborating with the NHS to improve efficiency, better patient care, and perform advanced decision-making. This collaboration is a huge label for Palantir due to it being trusted by the UK’s biggest health service, to optimize operations.

Overall, I believe $PLTR is a very promising company in the AI sector and shows great profitability potential.  In 2023 Palantir has made major collaborations giving it leverage over rivals and solidifying its status in the world of finance.

Oliver Alessandro Cervoni

[the-sleepy-archivist]

Favorite iOS Safari Extensions

On iOS (iPhones and iPads), Safari is the undisputed leader of the browsers, primarily because Apple puts very tight restrictions on other browser apps that makes it very difficult for them to offer the same features that Safari does.

Thankfully, you can install extensions to tweak Safari's behavior and customize websites, as long as your device is running iOS 15 or higher. Here are the Safari Extensions I use on a daily basis. Most are free (or at least have a free version), and all work on both iPhones and iPads.

For desktop computers and Android phones, you can also check out my recommendations for Firefox addons)

Last updated June 2024 (fixed broken Bypass Paywalls Clean userscript link, added recommended adblock and ublacklist filter lists)

Index:

AdGuard

Noir

uBlacklist

Userscripts

Sink It for Reddit

UnTrap

Vinegar

AdGuard

This addon is free if you just want to use the built in adblocking lists. For a small yearly fee, you can pay for "Pro" features, which allows you to add any custom adblocking list to the app, as well as providing DNS-based system-level adblocking that can block ads and trackers inside any app on your phone. Note that it gives you two options for the system-level blocking, local VPN and native DNS; using the VPN option can drain your battery faster than normal in my experience, so I recommend using the native DNS instead. Between AdGuard and the two YouTube-customizing extensions below, I haven’t seen an ad on YouTube in Safari in months.

Recommended custom filter lists (in addition to the built-in default lists):

Bypass Paywalls Clean

Huge AI Blocklist

Fuck FuckAdblock

Noir

Adds a dark mode to any website. It's using heuristics (fancy guessing) to figure out which website colors need to be changed so that it's properly darking, so sometimes it can make mistakes. In that case, it has a built in way to send a bug report to the developer, who is pretty responsive in my experience. You can also turn it off for specific sites right from inside Safari.

uBlacklist

This addon hides search engine results with specific domains. Example: you can hide images results from AI generator sites, OR if you search for tech support advice and one of those stupid auto-generated sites filled with SEO garbage but no actual information keeps popping up, you can use this addon to hide everything from that website, right from the Google/DuckDuckGo/other search results.

Recommended filter subscriptions:

Huge AI Blocklist

Userscripts

Allows you to install userscripts and stylesheets that customize website behavior or appearance. The addon can check for updates of your userscripts and uses iCloud to synchronize them across devices too, which is really nice. The userscripts I use are:

Bypass Paywalls Clean (removes news website paywalls)

Amazon Sponsored Products Removal (self-explanatory)

Redirect Fandom to BreezeWiki (bypasses ad-filled fandom.com domains for indie wikis or an ad-free proxy site. The link documents 2 userscripts with slightly different behavior; use whichever you prefer).

Sink It for Reddit

I switched to using Reddit in the browser only after the whole API/third party apps fiasco. AdGuard blocks the ads in the web interface, but there were still a lot of annoyances because Reddit constantly bombarded you with prompts/popups trying to get you to switch to their app so they could track you and sell you ads. Sink It for Reddit removes all of those popups and lets you customize the behavior of the Reddit website too (tapping a post can open it in a new tab, back to top buttons for long posts, and video downloads, among other things). Constantly being updated too, which is nice to see.

UnTrap (USD $1.99)

This extension cleans up the YouTube interface in the browser. You can hide Shorts, Explore, Trending, and multiple flavors of Suggestions (videos, playlists, etc.). It also has a content filter you can use to ensure you never see certain channels or even specific videos by ID, username, or keyword/regex. There are over 50 options you can tweak for the video playback page alone, so if you’re looking to remove an annoyance from YouTube in Safari on iOS, this is the addon for you. Note however that this is the first extension I’ve recommended that does NOT have a free version.

Vinegar (USD $1.99)

This extension replaces YouTube’s custom video player with a standard HTML5 one. This means that YT videos will play back using the standard iOS video player interface, including all of the accompanying benefits: better interface, Picture in Picture/popout videos work, videos continue playing in the background even if you leave Safari, etc.. I was even able to start a YouTube video in Safari, lock my phone, and then continue playing the video and hear the audio over my car’s speakers via CarPlay. These are all normally locked features reserved for YouTube Premium subscribers. You can also set a default quality that it will use so YouTube won’t use “auto” and set you to 360p just because you’re using a phone.

[digicloudm]

2 Top Nasdaq Stocks to Buy Before They Skyrocket in 2025

The Nasdaq Composite index had a solid 2024 with impressive gains of almost 31% during the year. This isn’t surprising considering the tech-heavy nature of the index that benefited from the impressive growth reported by several technology companies last year thanks to catalysts such as artificial intelligence (AI). It is worth noting that the Nasdaq Composite index’s impressive performance in…

[visionarycios]

Snowflake Shares Surge 19% Following Strong Earnings and Revenue Beat

https://visionarycios.com/wp-content/uploads/2024/11/VCIO-23-11-2024-1-Snowflake-Shares-Surge-19-Following-Strong-Earnings-and-Revenue-Beat-Source-yahoo.com_.jpg

Source: yahoo.com

Snowflake shares jumped 19% in after-hours trading on Wednesday after the data analytics software company reported fiscal third-quarter earnings that exceeded analysts’ expectations.

Earnings and Revenue Performance

For the quarter ending October 31, Snowflake Shares reported adjusted earnings per share of 20 cents, surpassing analysts’ expectations of 15 cents. Revenue for the quarter came in at $942 million, well above the $897 million anticipated by analysts. This represented a 28% year-over-year growth in revenue.

Despite the revenue increase, the company reported a widened net loss of $324.3 million, or 98 cents per share, compared to a loss of $214.3 million, or 65 cents per share, in the same period last year. Product revenue accounted for approximately 96% of total sales.

Upgraded Guidance for Fiscal 2025

Snowflake updated its fiscal 2025 guidance, projecting $3.43 billion in product revenue, which implies a 29% growth rate. This marks an increase from the $3.36 billion forecast provided three months ago. Additionally, the company revised its adjusted operating margin forecast to 5%, up from the previous guidance of 3% issued in August.

Focus on Efficiency

Snowflake’s CEO, Sridhar Ramaswamy, emphasized the company’s efforts to improve operational efficiency. He highlighted initiatives such as creating centralized teams and reducing redundant management layers to streamline decision-making processes.

The company is not planning significant layoffs, according to Chief Financial Officer Mike Scarpelli, but continues to focus on cost-saving measures to enhance overall efficiency.

Customer Growth and Federal Opportunities

Snowflake Shares added 369 customers during the quarter, bringing its total customer count to 10,618 as of the end of October. Analysts had projected 10,601 customers for the quarter.

Scarpelli also pointed to potential growth in the federal sector, noting opportunities for expansion in this space over the next few years. In September, Snowflake acquired Night Shift Development, a company focused on the public sector in the United States, to bolster its presence in government markets.

Similar New: Walmart Sales Surge as Retailer Raises Outlook

Key Partnerships and Acquisitions

Snowflake announced a multiyear partnership with Anthropic, an artificial intelligence startup backed by Amazon and a competitor to OpenAI. The collaboration highlights Snowflake’s growing focus on integrating AI capabilities.

The company also revealed its acquisition of Datavolo, a startup, for an undisclosed amount. This acquisition aims to further enhance Snowflake’s offerings in data analytics and cloud technology.

Cloud Partnerships Drive Growth

Snowflake shares continues to compete with cloud providers like Amazon and Microsoft, which also serve as key partners by supplying the company with essential computing resources.

Ramaswamy stated that Snowflake’s collaboration with Amazon Web Services (AWS) has generated over $3.9 billion in bookings over the past four quarters, underscoring the importance of strategic partnerships in driving growth.

Stock Performance

Snowflake’s stock has struggled throughout 2024, down 35% year-to-date as of Wednesday’s close. In comparison, the S&P 500 index has risen by 24% during the same period. However, the strong third-quarter performance and improved guidance have provided a much-needed boost to investor confidence, as reflected in the after-hours trading surge.

Snowflake’s robust results and strategic initiatives position it for continued growth, with a renewed focus on efficiency and expansion into new markets such as the federal sector and AI partnerships.

[accapitalmarket]

2025 starts on cautious footing, USD hits 2-year high

US stocks ended weaker on Thursday, after a volatile first session of 2025, starting the new year on a cautious note after a subdued December performance tarnished the strong gains seen overall in 2024.

The main Wall Street indices slipped back again amid concerns over a slower pace of interest rate cuts by the Federal Reserve and uncertainty over the impact of incoming US President Donald Trump’s policy.

Investors fear that Trump’s policies could keep inflation elevated in the long-term, leading to fewer interest rate cuts by the Fed. The central bank recently flagged a slower pace of rate cuts in 2025, citing concerns over sticky inflation and a robust labor market.

Ahead of next week’s monthly official jobs report, the latest weekly jobless claims dropped by 9,000 to a seasonally adjusted 211,000 for the week ended December 28, the lowest level since April and below forecasts for 222,000 claims.

Meanwhile, the S&P Global manufacturing purchasing managers index (PMI) for December saw a smaller than expected contraction to a reading of 49.4, down from 49.7 in November but above forecasts for a fall to 48.3. A reading above 50 points towards expansion in the sector, while a reading below 50 signals contraction.

The Atlanta Fed GDPNow model has revised its growth estimate for the fourth quarter of 2024. The model now predicts a seasonally adjusted annual growth rate of 2.6%, down from the previous 3.1% forecast made on December 24.

On foreign exchanges, the dollar jumped to a two-year high, adding around 1.0% versus both the pound and the euro, building on the strong gains from the prior year as expectations remained intact that growth in the US economy will still outpace that of its peers.

DXY H4 (1)

DXY H4 (2)

At the stock market close in New York, the blue-chip Dow Jones Industrials Average was down 0.4% at 42,392, while the broader S&P 500 index fell 0.2% at 5,868, and the tech-laden Nasdaq Composite shed 0.2% at 19,280.

The main focus was on electric vehicles maker Tesla, which fell 6.1% after its fourth quarter deliveries came in at 495,570, a record level, but below the consensus estimate for 512,277. Meanwhile, Tesla’s overall deliveries for 2024 fell for the first time in more than a decade.

Elsewhere, Apple lost 2.6% on reports it is offering discounts on its latest iPhone models in China, a rare move that points to rising competition from domestic rivals in the world's largest smartphone market.

And personal finance app SoFi Technologies shed 8.3% after analysts at KBW downgraded the stock to ‘underperform’ on concerns over its lofty valuation and ambitious financial target.

But Nvidia gained 3.0% as Bank of America reiterated the AI chipmaker as its top pick ahead of the Consumer Electronics Show next week, with CEO Jensen Huang set to deliver a keynote speech during the event.

And Unity Software jumped 9.1% higher following a cryptic social media post from well-followed meme stock trader Keith Gill, known online as Roaring Kitty. Also boosting Unity was a block-trade of 1.32 million shares at a market value of $29.7 million earlier this week.

Among commodities, crude prices pushed higher, as traders eyed hopes for an economic recovery in China, the largest global oil importer.

The private-sector Caixin/S&P Global survey indicated that China's factory activity grew in December, albeit at a slower than expected pace. The report echoed Tuesday’s official manufacturing survey, and suggested policy stimulus is gradually trickling into the second largest economy in the world.

USOILRoll H1

US WTI crude climbed 1.9% to $73.09 a barrel, while UK Brent was up 1.7% to $75.90 a barrel.

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The content of this market commentary is owned by AC Capital Market (V) Ltd. Any illegal reproduction of this content will result in immediate legal action.

[generativeinai]

AI Enterprise Search: Transforming Data into Actionable Insights

In today's data-driven business environment, organizations are collecting more information than ever before. However, the true challenge lies in making sense of this vast amount of data. This is where AI enterprise search comes into play, enabling companies to transform their complex and scattered data into actionable insights that drive business growth. In this blog, we will explore how AI enterprise search is revolutionizing the way organizations access, analyze, and utilize their data.

What is AI Enterprise Search?

AI enterprise search refers to the use of artificial intelligence (AI) technologies, such as natural language processing (NLP), machine learning, and advanced analytics, to improve the search capabilities within an organization’s data ecosystem. Unlike traditional search engines, AI-powered enterprise search systems do more than just return a list of keywords or phrases. They understand the context of a search query, can retrieve relevant results from vast and varied data sources, and even provide insights to help decision-makers act quickly and effectively.

These search solutions are integrated into a company’s data infrastructure, encompassing everything from emails and documents to databases and knowledge management systems, and they help businesses extract meaningful insights from this information with minimal effort.

The Importance of Actionable Insights

Before diving into how AI enterprise search transforms data, it’s crucial to understand what "actionable insights" are and why they matter. In essence, actionable insights are pieces of information that lead to clear, strategic decisions or actions. For businesses, these insights could be anything from identifying market trends and customer preferences to uncovering operational inefficiencies or pinpointing new growth opportunities.

Data alone isn’t useful until it is converted into actionable insights. AI enterprise search makes this process faster, more accurate, and more efficient by utilizing advanced algorithms to analyze large data sets, understand context, and surface relevant information. This capability ensures that decision-makers can focus on what's important without wading through overwhelming amounts of raw data.

How AI Enterprise Search Transforms Data into Actionable Insights

Context-Aware Search

AI enterprise search systems go beyond simple keyword matching by understanding the context of a user’s query. For example, if a team member searches for "sales strategy," an AI system can distinguish between various interpretations of the phrase—such as strategic approaches for increasing revenue or methods for structuring sales teams—and deliver the most relevant documents, reports, and recommendations based on what the user is truly seeking. This reduces the time spent filtering through irrelevant results and increases the likelihood of uncovering valuable insights.

Advanced Data Indexing and Categorization

Traditional search systems rely on predefined keywords and tags to organize and index data, which can be limiting. AI enterprise search, on the other hand, uses machine learning algorithms to automatically categorize and tag content based on its context. By continuously learning from new data, these systems can evolve and refine their indexing methods to ensure that search results remain highly relevant over time. This means that AI can effectively handle complex and unstructured data—such as emails, PDFs, or social media posts—helping employees find what they need without manual effort.

Natural Language Processing (NLP)

Natural language processing enables AI enterprise search to understand human language, enabling users to search in a conversational or natural way. Instead of relying on exact keywords, employees can ask questions like, "What were the key trends in our 2024 sales forecast?" or "How can we improve customer satisfaction in the retail sector?" The AI can then interpret the question, extract the relevant data, and return results that offer actionable insights, whether they are in the form of reports, graphs, or suggestions.

Sentiment Analysis

AI enterprise search tools can also apply sentiment analysis to gain insights from unstructured data sources such as customer feedback, reviews, and social media posts. By analyzing the sentiment behind customer opinions, businesses can better understand customer needs, concerns, and satisfaction levels. This kind of intelligence is essential for refining products, improving services, and responding more effectively to market demands.

Personalized Insights and Recommendations

One of the most powerful features of AI enterprise search is its ability to personalize search results based on the user’s past behavior, role within the company, and preferences. For instance, a marketing executive might receive search results focused on consumer trends and campaign performance, while a financial analyst might be presented with financial reports or market forecasts. By delivering tailored insights, AI ensures that each employee has the information they need to make informed decisions that align with their specific goals.

Automated Reports and Dashboards

AI enterprise search can go beyond just returning search results. Some platforms allow AI systems to generate automated reports or create interactive dashboards based on the data retrieved. For example, an AI system might pull data from across an organization, analyze trends, and automatically generate a report on sales performance or customer behavior. These automated insights can save hours of manual work, enabling teams to act quickly on emerging trends or problems.

Predictive Analytics

By combining historical data with machine learning algorithms, AI enterprise search platforms can also deliver predictive insights. These predictions can help businesses forecast trends, sales, or customer behavior, enabling proactive decision-making. For instance, if a company notices a drop in customer satisfaction scores, AI can predict potential reasons and suggest actions to improve satisfaction before it negatively impacts retention rates.

Real-World Applications of AI Enterprise Search

AI enterprise search is being used across various industries, each benefiting from its ability to generate actionable insights:

Healthcare: Medical professionals can search for the latest research papers, patient data, and clinical guidelines, helping them make faster, evidence-based decisions.

Retail: Retailers use AI enterprise search to analyze customer feedback, product reviews, and sales data, helping them optimize their inventory and marketing strategies.

Finance: Financial analysts leverage AI-powered search to find relevant market reports, news articles, and historical data, helping them make better investment decisions.

Legal: Law firms utilize AI search tools to sift through vast amounts of case law, contracts, and legal precedents, ensuring they find the most relevant information in a fraction of the time.

The Future of AI Enterprise Search

As AI technology continues to evolve, the capabilities of AI enterprise search will only improve. Future advancements may include even deeper integration with business intelligence platforms, allowing for more sophisticated data visualizations, real-time insights, and fully automated decision-making systems. Additionally, AI-powered search will continue to evolve in its ability to understand complex queries and deliver personalized, highly accurate results.

In the near future, companies that adopt AI enterprise search tools will likely have a competitive advantage. By making data more accessible and actionable, AI empowers organizations to stay ahead of the curve and drive innovation.

Conclusion

AI enterprise search is not just a tool for finding information—it’s a powerful engine for transforming vast, often chaotic, data into actionable insights that drive better decision-making. By harnessing advanced AI technologies such as machine learning, NLP, and predictive analytics, businesses can unlock valuable intelligence hidden within their data. As organizations continue to face mounting challenges in managing large volumes of data, AI enterprise search will be a game-changer for businesses looking to remain competitive, efficient, and data-driven.

Embracing AI enterprise search means embracing the future of business intelligence—turning raw data into knowledge that fuels growth, efficiency, and innovation.

[blockinsider]

US Spot ETF Issuers’ Cash Outflows Spark Bitcoin’s Bearish Start to 2025

Key Points

Bitcoin (BTC) is expected to enter 2025 in bearish correction mode, with significant cash outflows from US Spot ETF issuers.

The cryptocurrency industry is predicted to shift from speculative to utility-focused in 2025, driven by clearer regulations, institutional adoption, and AI-crypto convergence.

Bitcoin’s price ended 2024 on a bearish note, falling below a key support level around $93K. Despite being in a correction phase since hitting nearly $100K earlier in the month, investors anticipate a bullish recovery in 2025, propelled by institutional adoption.

Industry Shift in 2025

Financial services company Franklin Templeton forecasts a shift in the cryptocurrency industry from speculation to utility in 2025. The industry is becoming a vital part of the global financial sector, spurred by clearer regulatory frameworks, institutional adoption, and significant developments in AI-crypto convergence.

Institutional Bitcoin Activity in Late 2024

Institutional demand for Bitcoin varied significantly in the final days of 2024. US spot Bitcoin ETFs recorded a net cash outflow exceeding $800 million over the last two weeks. On December 30, US spot Bitcoin ETFs saw a net outflow of around $426 million, with no issuers registering a net cash inflow.

BlackRock’s IBIT reported a net cash outflow of about $36.52 million, Grayscale’s GBTC had a net cash outflow of around $134 million, and Fidelity’s FBTC recorded a net cash outflow of approximately $154 million.

As a result, the US spot Bitcoin ETF market is predicted to end 2024 with total net assets exceeding $106 billion, making it the best-performing ETF in its debut year.

Meanwhile, MicroStrategy Inc. continued its weekly Bitcoin purchases, investing about $209 million between December 23 and 29. Consequently, the company will end the year with around 446,400 Bitcoins, accounting for more than 2 percent of the total supply.

What’s to Come?

On-chain data analysis from CryptoQuant suggests that Bitcoin’s price could continue in bearish correction in the short term, potentially finding solid support at around $80K, a level where traders have little incentive to sell. Bitcoin’s price also lost a key support level around $93k in the past 24 hours, potentially signaling further selloffs in the near term.

From a technical analysis perspective, Bitcoin’s price has been forming a bearish reversal pattern over the past few weeks. Coupled with the bearish divergence on the Relative Strength Index (RSI), Bitcoin’s price closing below the 50-day Moving Average (MA) over the past five days indicates further bearish sentiment.

However, crypto analyst Ali Martinez remains optimistic that the macro Bitcoin bull run is not over, as the bear market typically begins once the monthly RSI reaches 92 and it is currently around 75%.

[healthcarediagnosticmarket]

Therapeutic Drug Monitoring Market Strategic Trends: Insights, Healthy CAGR , Dynamic Innovation in Technology, Regional Outlook, Forecast to 2033

Global Therapeutic Drug Monitoring Market to Witness Robust Growth, Projected to Reach USD 5.0 Billion by 2032

Company Name: Straits Research Market Size: USD 2.0 Billion in 2023; projected to reach USD 5.0 Billion by 2032

New York, USA - December 17, 2024 – The global Therapeutic Drug Monitoring (TDM) Market was valued at USD 2.0 billion in 2023 and is expected to grow at a compound annual growth rate (CAGR) of 10.2%, reaching USD 2.3 billion in 2024 and USD 5.0 billion by 2032. This significant market growth is driven by the increasing prevalence of chronic diseases, advancements in healthcare technologies, and growing awareness of personalized medicine. The global TDM market is set to expand its presence as healthcare systems worldwide increasingly recognize the importance of measuring drug concentrations to optimize therapy.

Market Definition: Therapeutic Drug Monitoring (TDM) is the clinical practice of measuring drug concentrations in patients’ blood to ensure effective dosing, prevent toxicity, and enhance treatment outcomes. This practice is crucial for drugs with a narrow therapeutic index, where the difference between therapeutic and toxic levels is small. TDM is vital for drugs such as antiepileptic, antiarrhythmic, immunosuppressant, and antibiotic medications.

For a detailed understanding of the market dynamics, get a full PDF sample of the report at this link.

Market Dynamics:

Key Trends:

Integration of AI and Machine Learning in Drug Monitoring: The adoption of AI and machine learning technologies is transforming the TDM industry by enabling more accurate and efficient analysis of drug levels, predicting patient responses, and personalizing treatment.

Rising Focus on Personalized Medicine: With growing emphasis on precision medicine, TDM is playing an essential role in ensuring that patients receive tailored treatments based on their specific drug metabolism rates and response profiles.

Market Drivers:

Rising Prevalence of Chronic Diseases: Chronic diseases, such as epilepsy, heart disease, and autoimmune disorders, are contributing to the increased demand for TDM. These conditions often require long-term medication, making monitoring of drug levels essential to prevent adverse effects and ensure efficacy.

Advancements in Diagnostic Technologies: The development of advanced diagnostic tools and monitoring systems, such as immunoassays and chromatography-spectrometry, is driving market growth. These technologies enable faster, more accurate, and less invasive drug monitoring.

Market Opportunities:

Expansion in Emerging Markets: As healthcare infrastructure improves in emerging markets, there is a significant opportunity for TDM services and solutions to expand in regions like Asia-Pacific and Latin America.

Growing Adoption of Point-of-Care Testing: The increasing demand for point-of-care testing (POCT) devices offers substantial growth prospects for the TDM market, particularly in resource-limited settings where quick and accurate drug monitoring is crucial.

Market Segmentation:

By Technology:

Immunoassays

Chromatography-Spectrometry

By Product:

Consumables

Equipment

By Drug Class:

Antiepileptic Drugs

Antiarrhythmic Drugs

Immunosuppressant Drugs

Antibiotic Drugs

By End-User:

Hospitals

Diagnostic Labs

Research and Academic Institutes

For more information on market segmentation, visit here.

Key Players in the Therapeutic Drug Monitoring Market:

F. Hoffmann-La Roche Ltd.

Abbott Laboratories

Danaher Corporation

Biomerieux SA

Chromsystems Instruments & Chemicals GmbH

SEKISUI CHEMICAL CO., LTD.

Bio-Rad Laboratories, Inc.

Exagen Inc.

Thermo Fisher Scientific Inc.

Siemens AG

Geographical Insights:

The North America region is currently dominating the TDM market due to its advanced healthcare infrastructure, high adoption rate of innovative diagnostic tools, and robust healthcare policies. However, the Asia-Pacific region is expected to witness the fastest growth, fueled by increasing healthcare investments, rising awareness, and growing demand for personalized medicine.

For more details, inquiries, or customization before purchasing the report, visit here.

About Straits Research: Straits Research is a leading market research and consulting firm specializing in providing comprehensive, actionable, and evidence-based insights to a diverse range of industries. With a focus on delivering high-quality research and strategic solutions, Straits Research empowers businesses to make informed decisions and achieve sustainable growth.

Contact Us

Email: sales@straitsresearch.com 

Address: 825 3rd Avenue, New York, NY, USA, 10022

Tel: +1 6464807505, +44 203 318 2846

[credenceresearchdotblog]

The Document Management Software Market is projected to grow from USD 10,511.03 million in 2024 to an estimated USD 28,361.12 million by 2032, with a compound annual growth rate (CAGR) of 13.21% from 2024 to 2032. In an era defined by rapid technological advancements and an ever-growing emphasis on digital transformation, the document management software (DMS) market has emerged as a critical component for businesses worldwide. As organizations strive to streamline operations, enhance productivity, and maintain regulatory compliance, the demand for effective document management solutions continues to soar. This article delves into the current trends, growth drivers, challenges, and future prospects of the DMS market.

Browse the full report https://www.credenceresearch.com/report/document-management-software-market

Market Overview

Document management software provides businesses with tools to store, organize, and retrieve digital documents efficiently. Beyond basic storage, these solutions often incorporate features like version control, access management, workflow automation, and integration with other enterprise systems. DMS plays a pivotal role in sectors such as healthcare, legal, education, government, and financial services, where managing vast amounts of data securely is paramount.

The global document management software market was valued at approximately $6 billion in 2022 and is projected to grow at a compound annual growth rate (CAGR) of around 10% from 2023 to 2030. This robust growth can be attributed to increasing digitization across industries, a growing emphasis on paperless offices, and the rising need for secure and scalable data management solutions.

Key Trends Driving Growth

Cloud-Based Solutions: The shift to cloud-based DMS has revolutionized the market. Cloud platforms offer scalability, ease of access, and cost-effectiveness, making them the preferred choice for small and medium-sized enterprises (SMEs) as well as large organizations. Hybrid solutions that combine on-premises and cloud functionalities are also gaining traction.

AI and Automation: Artificial intelligence (AI) is transforming document management. Features like automated indexing, optical character recognition (OCR), and intelligent search capabilities enable faster data retrieval and improved operational efficiency. AI-driven analytics also provide insights for better decision-making.

Integration with Collaborative Tools: The rise of remote work has heightened the need for seamless collaboration. Modern DMS solutions integrate with tools like Microsoft Teams, Slack, and Google Workspace, enabling teams to work together efficiently on shared documents in real-time.

Regulatory Compliance and Data Security: With stricter data protection laws like GDPR and CCPA, businesses are prioritizing solutions that ensure compliance and safeguard sensitive information. Advanced DMS systems incorporate robust encryption, audit trails, and user authentication mechanisms.

Mobile Accessibility: As workforces become increasingly mobile, the demand for DMS platforms that provide secure access to documents via smartphones and tablets has surged. This trend ensures productivity on the go.

Challenges in the DMS Market

Despite its growth potential, the DMS market faces several challenges. One major hurdle is the high implementation cost, particularly for SMEs with limited budgets. Additionally, migrating legacy systems and ensuring user adoption can be complex and time-consuming processes. Data privacy concerns, especially when using cloud-based platforms, also remain a critical issue for many organizations.

Future Prospects

The future of the DMS market looks promising, with emerging technologies paving the way for innovation. Blockchain technology is set to enhance document authenticity and security, while machine learning algorithms will further improve document classification and retrieval. Additionally, the growing focus on environmental sustainability will drive organizations to adopt digital solutions, reducing their reliance on paper.

The integration of DMS with enterprise resource planning (ERP) systems, customer relationship management (CRM) platforms, and industry-specific applications will also expand its applicability. Furthermore, the rise of edge computing could enable faster document processing and access, even in remote locations.

Key Player Analysis:

Microsoft Corporation

IBM Corporation

Oracle Corporation

OpenText Corporation

Xerox Corporation

M-Files Corporation

DocuSign, Inc.

Laserfiche

Hyland Software, Inc.

Everteam

Segmentation:

Based on Product Type:

Document Management Software (DMS)

Enterprise Content Management (ECM) Systems

Digital Asset Management (DAM) Solutions

Collaborative Document Management Solutions

Records Management Systems

Other Document Solutions

Based on Deployment Model:

Cloud-Based Solutions

On-Premise Solutions

Hybrid Solutions

Based on Industry:

Healthcare

Legal

Financial Services

Government

Education

Manufacturing

Retail

Other Industries

Based on Region:

North America:

United States

Canada

Mexico

Europe:

United Kingdom

Germany

France

Italy

Spain

Netherlands

Asia Pacific:

China

Japan

India

Australia

South Korea

Southeast Asia (e.g., Singapore, Malaysia, Thailand)

Latin America:

Brazil

Argentina

Chile

Colombia

Middle East & Africa:

United Arab Emirates (UAE)

Saudi Arabia

South Africa

Egypt

Kenya

Browse the full report https://www.credenceresearch.com/report/document-management-software-market

Contact:

Credence Research

Please contact us at +91 6232 49 3207

Email: sales@credenceresearch.com

Website: www.credenceresearch.com

[insightsresearch]

Business Document Work Process Management Market New Innovations Trends, Research, Global Share and Growth Factor

Analysis of Business Document Work Process Management Market Size by Research Nester Reveals the Market to grow with a CAGR of 15.2% during 2025-2037 and attain USD 21.3 billion by 2037

Research Nester assesses the growth and market size of the global business document work process management market which is anticipated to be on account of the increasing investment in the IT industry.

Research Nester’s recent market research analysis on “Business Document Work Process Management Market: Global Demand Analysis & Opportunity Outlook 2037” delivers a detailed competitor’s analysis and a detailed overview of the global business document work process managementmarket in terms of market segmentation by offering, enterprise size, deployment, application, and by region.

Increased Integration of Robotics and Blockchain Technology to Promote Global Market Share of Business Document Work Process Management

 The global business document work process managementmarket is estimated to grow majorly on account of the widespread adoption of automation and blockchain technology in document management systems. RPA-enabled software robots, often known as digital workers, have progressed from simple, high-volume, rules-based commercial tasks to more complex processes that typically require human intelligence. Blockchain technology can enable automation across organizational boundaries using smart contracts, enable previously unimaginable jobs, and support the growth of trading partner networks' ecosystems.

For instance, while AI-enabled RPA Bots can move data between formats inside a system, the blockchain decentralizes the indexing of the storage system. Files kept in a decentralized system (like IPFS) cannot be lost or compromised in the event of a collapse of a central system. It clears out a system that has collected backlogs of data by dispersing the data over thousands of computers, which speeds up the back-office operation and makes it easier to access

Some of the major growth factors and challenges that are associated with the growth of the global business document work process management market are:

Growth Drivers:

Growing adoption of cloud-based solutions

Growing collaborations among key players

Challenges:

One of the main issues with document management is protecting the privacy and security of sensitive data. Due to the increasing frequency of cyberattacks and data breaches, businesses must implement robust security measures to protect their papers. As a result, this element might prevent the market for business document work process management from expanding.

Compliance with various regulations, including GDPR, HIPAA, and industry-specific guidelines, presents a significant additional burden. For businesses, staying current and compliant is essential because falling behind can lead to serious fines and legal issues.

Access our detailed report at: https://www.researchnester.com/reports/business-document-work-process-management-market/6413

By offerings, the global business document work process management market is segmented into services and solutions. The services segment is to garner the highest revenue by the end of 2037 by growing at a significant CAGR over the forecast period.  The increasing emphasis on security and compliance in document management is responsible for the segment's expansion. For instance, 80% of organizations planned to increase their spending on cybersecurity measures in 2024, indicating how critical it is to strengthen defenses against the evolving threat landscape. Furthermore, the trend toward mobile document management is noteworthy since it supports the flexibility required by contemporary work environments by allowing users to access, edit, and share documents while on the move through mobile applications and solutions.

By region, the Europe business document work process management market is expected to generate the highest revenue by the end of 2037. The market growth can be attributed to the rapid shift towards digital transformation of business documents in the region. According to the European Comission, 59% of all EU firms attained a minimal degree of digital intensity in 2023. While the proportion for large enterprises was 91%, the share for SMEs was 58%, some 30 percentage points (pp) below the EU 2030 target. Also, the increased use of cloud-based services for document management and storage as well as the rapid use of electronic document management (EDM) services is another factor propelling the market growth in the region.

Request Free Sample Copy of this Report @ https://www.researchnester.com/sample-request-6413

This report also provides the existing competitive scenario of some of the key players of the Xerox Corporation, Eastman Kodak Company, Docusign, Inc., Inetum, Exela Technologies Inc., Adobe Inc., Lexmark International, Inc., IBM Corporation, Oracle Corporation, LogicalDOC, and others.

Request for customization @ https://www.researchnester.com/customized-reports-6413

Research Nester is a leading service provider for strategic market research and consulting. We aim to provide unbiased, unparalleled market insights and industry analysis to help industries, conglomerates and executives to take wise decisions for their future marketing strategy, expansion and investment etc. We believe every business can expand to its new horizon, provided a right guidance at a right time is available through strategic minds. Our out of box thinking helps our clients to take wise decision in order to avoid future uncertainties.

Contact for more Info:

AJ Daniel

Email: info@researchnester.com

U.S. Phone: +1 646 586 9123

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[arfacapital]

European markets European markets started the session in positive territory, albeit with modest gains. However, as the session progressed, indices displayed a mixed performance. The SMI outperformed following the SNB's larger-than-expected rate cut, while broader European equities turned more subdued ahead of the ECB's policy announcement. Autos and Energy/Basic Resources led the gains, driven by strong underlying commodity prices. Retail was the clear laggard, extending its prior session's weakness. US pre-market The Nasdaq surged past the 20,000 mark for the first time, driven by gains in Google and Nvidia. Meanwhile, the Dow dropped 99 points, continuing its losing streak, and the S&P 500 gained modestly. Tesla shares reached a record $424.77, propelled by market optimism surrounding its electric vehicle and AI prospects, along with favorable ties between Elon Musk and President-elect Trump. Quantum computing stocks also experienced a significant boost after Google introduced its "Willow" quantum chip, which sparked a 45% rise in Rigetti Computing's stock and lifted the Defiance Quantum ETF by 2%. Fixed income markets USTs are marginally weaker after an overnight selloff. Yields were steeper as the market awaited US PPI and ECB updates. Bunds softened, influenced by ECB anticipation and the SNB's unexpected policy move. French OATs and Gilts also edged lower, reflecting broader risk-off sentiment. The Italian Treasury successfully auctioned EUR 8.5 billion across maturities, meeting upper expectations. Commodities WTI and Brent saw marginal gains but pared earlier advances after the IEA downgraded 2024 demand growth forecasts. Prices remained near USD 70/bbl and USD 73/bbl, respectively. Gold held steady around USD 2,715/oz, under pressure from USD strength and rising yields, though benefitting from mixed risk sentiment. Copper remained range-bound above USD 9,200/MT, reflecting cautious market sentiment. Currencies The Dollar Index (DXY) traded steadily, staying within the 106.26-106.80 range. Market focus shifted to upcoming PPI data after the previous CPI report. EUR/USD hovered around the 1.05 level, awaiting the ECB's expected 25bps rate cut. The pair remained within a 1.0480-1.0539 range. JPY experienced mild depreciation after early APAC strength waned. The BoJ is reportedly leaning toward maintaining rates steady, pending consensus on next week’s decision. GBP held steady with limited UK-specific catalysts. GBP/USD tested a session high of 1.2787 before reverting to the prior range of 1.2714-1.2782. AUD outperformed following robust jobs data. Employment growth exceeded expectations, driving AUD/USD back above 0.64. CHF declined after the SNB surprised markets with a 50bps rate cut, coupled with a reiteration of intervention readiness. Cryptocurrencies Bitcoin remained above the 100k mark but traded slightly lower, reflecting minor consolidation after recent rallies. Political and World News - Israeli forces reportedly entered the Syria buffer zone temporarily. Hamas signaled potential acceptance of Israeli presence in Gaza post-ceasefire. - Chinese President Xi reiterated a commitment to strengthening ties with Russia, emphasizing economic collaboration. - President Biden issued clemency for over 1,500 people, marking the largest single-day clemency action in U.S. history. - FBI Director Christopher Wray announced his resignation ahead of Trump’s inauguration, with Kash Patel set to replace him. - U.S. regulators finalized a rule limiting overdraft fees to $5 for banks with over $10 billion in assets. While welcomed by consumers, the rule faces potential rollback under the incoming administration. - Elon Musk became the first person to reach a net worth of $400 billion, driven by record valuations of Tesla and SpaceX. - Prominent real estate figures Tal, Oren, and Alon Alexander face federal and state charges for alleged sex trafficking over a decade. - A former TD Bank employee was charged with laundering $670 million for drug cartels, highlighting systemic compliance failures within the banking sector. Economic Highlights - Wholesale Price Index: The U.S. producer price index (PPI) increased by 0.4% in November, surpassing expectations, indicating sustained inflationary pressures. Core PPI matched forecasts at 0.2%. - Deficit Expansion: The U.S. budget deficit climbed to $366.8 billion in November, a 17% increase year-over-year. The Treasury forecasts $1.2 trillion in annual interest costs as the national debt hits $36.1 trillion. - Jobless Claims Rise: Initial jobless claims totaled 242,000 for the week ending December 7, a 17,000 increase week-over-week, signaling potential headwinds in the labor market. - European Rate Cuts: The ECB reduced its key interest rate by 0.25% to 3%, marking its fourth rate cut in 2024. The Swiss National Bank made a larger-than-expected 0.50% cut to 0.5%. - India's Inflation Eases: India's inflation dropped to 5.48% in November, raising expectations of a 0.25% interest rate cut in early 2025 under the new RBI governor. Corporate Highlights - Tesla Hits Record High: Tesla shares closed at $424.77, marking a 6% daily increase and a 71% year-to-date gain. The stock's momentum is linked to optimism about the company's EV and AI advancements, as well as Elon Musk's relationship with President-elect Trump. - Quantum Stocks Surge: The unveiling of Google's Willow quantum chip has revitalized quantum computing stocks. Rigetti Computing saw a 45% jump, while the Defiance Quantum ETF (QTUM) rose by 2%. Companies like D-Wave and MicroStrategy have also enjoyed massive year-to-date gains of 355% and 538%, respectively. - SCOTUS Clears Nvidia Case: The Supreme Court allowed a securities fraud lawsuit against Nvidia to proceed, concerning allegations the company misrepresented its reliance on cryptocurrency mining for revenue. - Walmart's Fintech Growth: Walmart's financial services startup, One, reached a valuation of $2.5 billion after raising $300 million in funding. The company plans to leverage Walmart’s expansive customer and employee network to expand its services. - SpaceX Valuation Hits $350 Billion: SpaceX's valuation soared following a $1.25 billion secondary share sale, driven by its dominance in the satellite launch market and Starlink's growth. - Google's New AI Tool: Google launched "Deep Research," an advanced AI tool for its Gemini subscribers, allowing users to generate detailed reports through comprehensive data mining. - Eli Lilly Collaboration: Ro, a health-tech startup, partnered with Eli Lilly to offer the weight-loss drug Zepbound through its platform at significantly lower prices than traditional options. - Hershey's Buyout Rejected: Hershey's controlling trust dismissed Mondelez's takeover bid as too low. Hershey’s stock dropped 3.3%, while Mondelez rose 3.5%. Mondelez announced plans for smaller acquisitions and a $9 billion stock buyback program. - Albertsons and Kroger Dispute: Albertsons terminated its $25 billion merger with Kroger after court opposition, suing Kroger for breach of contract. While Kroger shares rose 2%, Albertsons fell by 1.5%. - ReNew Energy's Go-Private Offer: ReNew Energy received a $2.82 billion buyout proposal, representing an 11.5% premium. The stock surged 17.7% in response. Recent Earnings Recap - Adobe (ADBE) reported robust results with quarterly revenue reaching $5.61 billion, reflecting an 11.05% year-over-year growth, surpassing expectations by $66 million. The company also achieved earnings per share (EPS) of $4.81, a 12.65% increase from the previous year, exceeding forecasts by $0.15. This performance highlights Adobe's continued strength in its subscription-based digital media and cloud services. - Nordson (NDSN) delivered solid quarterly performance with revenue climbing to $744.48 million, a 3.5% year-over-year increase, surpassing expectations by $7.69 million. EPS rose significantly to $2.78, marking a 13.01% year-over-year improvement, beating estimates by $0.19, signaling operational efficiency and steady demand across its markets. - Ciena (CIEN) posted mixed results for the quarter. While revenue slightly declined by 0.44% year-over-year to $1.12 billion, it still managed to beat expectations by $24 million. However, EPS dropped 28% year-over-year to $0.54, falling short of estimates by $0.11, reflecting pressure on margins despite stable top-line performance. Upcoming Earnings Outlook - Broadcom (AVGO) is set to report after the market close today. Analysts project revenue of $14.09 billion, representing a significant 51.59% year-over-year growth, with EPS estimated at $1.38, a 24.32% increase. Investors will focus on updates about its cloud and semiconductor business segments. - Costco (COST) will also report later today. Analysts forecast revenue of $62.08 billion, reflecting a 7.41% year-over-year rise, alongside EPS expectations of $3.79, an 8.91% increase. Key attention will be on membership growth and holiday sales outlook. - RH (RH) is expected to announce earnings with analysts predicting revenue of $813.61 million, an 8.3% year-over-year increase, and EPS of $2.67. Insights into the company's luxury furniture sales trends will be closely monitored. - GE Vernova (GEV) and Solventum (SOLV) are slated to release earnings on Tuesday. GE Vernova is anticipated to report $10.68 billion in revenue, while Solventum is expected to deliver $2.06 billion. - Micron Technology (MU) will report Wednesday, with analysts estimating $8.55 billion in revenue, an impressive 80.91% year-over-year growth, alongside EPS of $1.76. The focus will be on-demand recovery in memory chips. - Lennar (LEN): Projected revenue of $10.08 billion (-8.1% YoY) and EPS of $4.26 (-17.6% YoY). - General Mills (GIS): Expected revenue of $5.13 billion (-0.18% YoY) and EPS of $1.22 (-2.4% YoY). - Jabil (JBL): Anticipated revenue of $6.61 billion (-21.19% YoY) and EPS of $1.83 (-29.62% YoY). - Birkenstock Holding (BIRK): Forecasted revenue of $439.27 million (+7.75% YoY) and EPS of $0.26 (+85.71% YoY). IPO Activity Confirmed Today: - ServiceTitan (TTAN): A cloud-based software provider reported $653.84 million in trailing twelve-month (TTM) revenue, growing 31.34% YoY. Estimated Friday, Dec. 13: - Metros Development Co., Ltd. (MTRS): A Japanese real estate consulting company with $489.07 million in TTM revenue and 52.84% YoY growth. - Mountain Lake Acquisition Corp. (MLAC): A Nevada-based blank check company. - Roman DBDR Acquisition Corp. II (DRDB): Focused on cybersecurity, AI, and fintech sectors. - Anteris Technologies Global Corp. (AVR): A cardiac devices manufacturer with $2.71 million in TTM revenue. - New Century Logistics (BVI) Limited (NCEW): A Hong Kong-based freight forwarding provider with $52.15 million in TTM revenue, down 4.69% YoY. - NetClass Technology Inc (NTCL): A Chinese education software company with $11.09 million in TTM revenue, up 19.79% YoY. Market Outlook and Future Events Investors will closely monitor developments in inflation and interest rate policy, with wholesale inflation data and jobless claims suggesting mixed economic signals. Corporate earnings, particularly from Adobe, will provide further insights into business trends as markets anticipate the Fed's next move. Read the full article

[seositetool]

First Representation Index Report Unveils the Global Landscape of Inclusive Advertising

Report includes AI-powered representation analysis of over a million ads from more than 100 countries to produce the only industry index and scalable view into the state of inclusivity globally XR Extreme Reach, a global technology company, announced the global outlook of representation in advertising, measuring inclusivity in more than one million ads across over 100 countries. The 2024 Global…

[moko1590m]

2024年12月03日 20時00分 AIを使いこなせるかどうかは「能力次第」、AIが上位10％のエリート科学者の成果を81％増やしたとの研究結果 AIの発展により、学術研究の分野ではAIを用いた実験データの捏造や生成画像の使用といった問題が懸念されるようになっている一方、AIは研究の能率の向上や創薬、新しい物質の構造の発見などで大きな成果を上げています。アメリカ・マサチューセッツ工科大学の博士課程の学生であるエイダン・トナー・ロジャース氏が、AIの支援を受けた優秀な科学者がイノベーションを促進させたとの研究結果を報告しました。 Artificial Intelligence, Scientific Discovery, and Innovation (PDFファイル)https://aidantr.github.io/files/AI_innovation.pdf Recent AI paper cites evidence that AI positively impacts scientific R&D | Technology Law Dispatch https://www.technologylawdispatch.com/2024/11/artificial-intelligence/recent-ai-paper-cites-evidence-that-ai-positively-impacts-scientific-rd/ 今回の研究の対象者は、アメリカの大手企業に勤務し、医療や工学、製造などに関連した材料工学を専門としている研究職の科学者1018人です。対象となった科学者らには、特定の特性を持つと予測される新しい化合物のレシピを生成してくれるAIツールが提供されました。 このツールは、既存の素材の構造と特性で訓練されたグラフ・ニューラル・ネットワーク(GNN)から作られたもので、AIは素材を原子と結合の多次元グラフとして表現したり、物理法則を学習して大規模な特性を符号化したりすることが可能でした。そして、科学者はこのAIツールの出力結果を評価し、有望な組み合わせを特定して新素材の合成を行うことができました。 研究の結果、AIの支援を受けた科学者は44％多くの素材を発見し、これにより特許の出願数が39％増加したことがわかりました。AIがイノベーションを加速させたことにより、新しい化合物を使った製品のプロトタイプの開発は17％増加しました。 そのことを示す図が以下。AI導入前の平均を1とした、AIを導入(縦線)してからの新素材の発見数(上)、特許出願数(中)、製品プロトタイプ数(下)の推移がグラフになっています。AIを導入すると、5～6カ月で新素材の発見と特許の出願が増え、1年から1年半後にはその発見を生かした新製品が開発されました。 AI導入コストを考慮すると、この結果は研究開発の効率を13～15％向上させたことになるとのこと。 「この結果には2つの意味があります。まず、AIを活用した研究には可能性があることが示されました。そして、研究開発の後期で完全なボトルネックになることなく、これらの発見が製品イノベーションにつながることが確認されました」とトナー・ロジャース氏は述べました。 AIは科学者の働き方を劇的に変化させ、新素材に関するアイデアを出す工程を大幅に自動化する代わりに、AIモデルが提案した候補の評価という新しい作業を科学者に与えました。 以下は縦軸に科学者らのタスクの時間配分を、横軸に期間をとった図で、各タスクがアイデア生成(青)、評価(緑)、実験(紫)で色分けされています。AIが導入される前、科学者たちは潜在的な新素材のアイデア出しに4割ほどの時間を割いていましたが、AI導入により16％未満になりました。その一方、候補の吟味に費やす時間はほぼ倍増し、実験の時間も増えました。 この研究ではまた、すべての科学者が等しくAIの恩恵を受けられたわけではないことも浮き彫りになりました。 以下は、AIの効果を縦軸に、科学者の生産性を横軸にプロットしたグラフです。生産性が下位の科学者はあまり成果が伸びませんでしたが、上位10％(右端)のトップ科学者は81％も成果を伸ばしました。 生産性が向上した一方で、AIは科学者たちの仕事を退屈にしてしまいました。 以下の図は仕事の満足度を「生産性の変化によるもの(青)」「タスク配分の変化によるもの(緑)」「全体的な満足度(紫)」で色分けして、科学者の生産性ごとにわけたものです。 上図では、生産性が下位の科学者(一番左)はすべての満足度が低下しました。また、優秀な科学者らも生産性が向上したことには満足していましたが、タスク配分が変動したことで大きく満足度が損なわれ、総合的な満足度はマイナスか、最も優秀な科学者のグループでも微増にとどまりました。科学者たちは、潜在的な新素材のアイデアを出す工程にやりがいを感じており、それをAIに横取りされたように感じたのかもしれません。 そのことを裏付けるように、科学者らは仕事の満足度低下の原因について、上から順に「スキルが活用されていない(73％)」「創造性の低下と反復的な仕事の増加(53％)」「成果の帰属配分の問題(21％)」「AIツールの複雑さ(19％)」と述べています。 ある科学者はAIツールについて「性能には感心しましたが、自分がしてきた勉強の多くが無価値になったような気がしてなりません。これは私が経験を積んできたやり方ではありませんから」と漏らしたとのことです。 トナー・ロジャース氏は論文に「AIは新素材の発見を大幅に促進し、特許出願数の増加や製品イノベーションの向上につながることがわかりました。しかし、これは十分に精通した科学者とAIが組み合わさった場合にのみ有効です。なぜなら、一流の科学者は有望なAIの提案に優先順位をつけられますが、そうでない科学者は偽陽性のテストに多大なリソースを浪費してしまうからです」と記しました。 この記事のタイトルとURLをコピーする ・関連記事 科学論文の調査に特化したAIモデル「OpenScholar」がベンチマークでGPT-4oを上回る、科学研究の大幅な効率化に期待 - GIGAZINE AIの発展には哲学が重要であり哲学者もAIから新たなアイデアを得ることができる - GIGAZINE 生成AIツールで画像や実験データを簡単に捏造できるようになり科学研究が脅かされている - GIGAZINE コンピューター科学者が示す「これまでのAIと現在のAI、そしてそれらが将来もたらすであろうもの」とは？ - GIGAZINE AIの発展につながるディープラーニングブームを後押しした「先見の明を持って型破りなアイデアを追求した3人」とは？ - GIGAZINE コンピューターサイエンスに関する論文に対する5万件の査読報告書を分析すると7～17％がAI生成だったことが判明 - GIGAZINE ChatGPTなどのAIで科学論文を書くことが国際会議で禁止に、ただし自分の文章の編集・推敲はOK - GIGAZINE ・関連コンテンツ Google DeepMindがAIツールを使って220万種類の新しい結晶構造を発見、これまで発見されてきた数の45倍以上 Amazonは成績下位6％を解雇する「後悔のない人員削減」を行っている 作家が小説のアイデアをAIで得ると創造性は向上するが大きな問題も発生すると判明 「AIは人間より高性能だが一部のテストでは人間の方が優秀」「高性能AIの学習コストは数百億円」などをまとめたスタンフォード大学のレポート「AI Index Report 2024」が公開される 人は直感的に「AIが生成した絵画」より人間の絵を好むことが判明、AI作品は「不気味の谷現象」に陥っている可能性 「産業用ロボットを導入している企業」と「しない企業」の圧倒的な差をグラフで可視化するとこうなる 「新しい発見」が生まれにくいのは研究者の報酬体系に問題があるという主張 ChatGPTがロースクールの試験で合���点を獲得、ただし優秀な生徒にはなれない様子

AIを使いこなせるかどうかは「能力次第」、AIが上位10％のエリート科学者の成果を81％増やしたとの研究結果 - GIGAZINE

[martinezfigueroaefrain]

La #IA generativa rompe barreras: inversión global crece 800% en un año | Eje Central 

La inversión mundial en inteligencia artificial generativa alcanzó los 25.2 mil millones de dólares en 2023, un aumento de 800% respecto al año anterior, según el AI Index Report 2024 de la Universidad de Stanford. Origen: La IA generativa rompe barreras: inversión global crece 800% en un año

[accapitalmarket]

US stocks lower ahead of holiday, PCE sparks rate cut uncertainty

US stocks ended lower on Wednesday, albeit in thin trading ahead of the Thanksgiving holiday, as investors digested some strong economic data, including the latest personal consumption and expenditure (PCE) index, which dented hopes for further Federal Reserve rate cuts this year.

October’s PCE prices index came in as expected, with the annual figure climbing by 2.3%, while the core PCE index, the Federal Reserve's preferred measure of inflation, rose 2.8% in October, considerably above the Fed’s 2% annual target.

Other data showed that the US economy grew at an unrevised 2.8% annualised rate in the third quarter, well above what Fed officials regard as the non-inflationary growth rate of around 1.8%.

And the latest weekly jobless claims dipped to 213,000 from a downwardly revised 215,000 in the prior week, with claims steadily retreating from the near 1-1/2-year high seen in early October indicating a robust labor market.

Recent signs of sticky US inflation have sparked some uncertainty over whether the Fed will cut interest rates again, and markets have begun questioning the prospect of a 25-basis point cut in December.

However, in a note on Wednesday, economists at Swiss bank UBS still predicted that the US central bank is likely to cut interest rates at its December policy meeting, before switching to a slower pace of cuts in 2025.

At the stock market close in New York, the blue-chip Dow Jones Industrials Average was down 0.3% at 44,722, retreating after earlier gains which saw the benchmark cross the 45,000-point level for the first time, just a month after the index breached the 44,000 mark.

Meanwhile the broader S&P 500 index lost 0.4% at 5,998, and the tech-laden Nasdaq Composite fell 0.6% to 19,060.

SPX500 H1

Among the tech fallers, market darling chipmaker Nvidia shed 1.1% after PC sector earnings released after-hours on Tuesday revealed uneven AI spending trends.

Dell Technologies dropped 12.3% after the PC manufacturer offered up a disappointing revenue outlook for the current quarter despite being bullish on AI sales growth. And HP dropped 11.3% after the IT company also issued disappointing guidance for 2025 despite trumpeting AI hopes.

Elsewhere, Symbiotic plunged 35.9% as the warehouse robotics provider disclosed a massive accounting error in its 2024 revenues.

Workday fell 6.2% as the cloud-based business software applications company issued disappointing subscription revenue guidance. Fellow software firm Autodesk dropped 8.6% as its quarterly revenue missed analysts’ expectations.

And Crowdstrike lost 4.6% as the cybersecurity firm swung to a loss in a quarter where an update of its software triggered one of the worst ever computer outages, although the company still raised its full-year outlook.

But on the upside, clothing retailer Urban Outfitters jumped 18.3% after reporting better than expected earnings.

On commodity markets, crude prices stabilised as traders assessed the potential impact of the ceasefire deal between Israel and Lebanon-based Hezbollah, as well as an unexpected, substantial draw in US oil inventories.

USOILRoll H4

After falls on Tuesday, US WTI crude slipped 0.01% to $68.76 a barrel, while UK Brent crude was flat at $72.32 a barrel.

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