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Rumble Announces Bitcoin Treasury StrategyNEW YORK , Nov. 25, 2024 /PRNewswire/ -- Report with the AI impact on market trends - The global semiconductor market in military and aerospace industry size is estimated to grow by USD 3.02 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of 5.56% during the forecast period. Increased upgrading and modernization of aircraft is driving market growth, with a trend towards growing use of UAVS. However, high cost associated with manufacturing poses a challenge.Key market players include Advanced Micro Devices Inc., AKHAN Semiconductor Inc., AMS Technologies AG, Broadcom Inc., Digitron Semiconductors, Foundaries Inc., Infineon Technologies AG, Intel Corp., Microchip Technology Inc., Micron Technology Inc., Micross Inc., Northrop Grumman Corp., ON Semiconductor Corp., Qualcomm Inc., Raytheon Technologies Corp., Samsung Electronics Co. Ltd., SEMICOA, Semtech Corp., Skyworks Solutions Inc., Taiwan Semiconductor Manufacturing Co. Ltd., Teledyne Technologies Inc., Texas Instruments Inc., Toshiba Corp., and Vishay Intertechnology Inc.. Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View Free Sample PDF Market Driver The semiconductor market in the military and aerospace industry is witnessing significant growth due to increasing defense expenditure and modernization. Microchips and integrated circuits (ICs) made of silicon, germanium, compounds, and gallium arsenide are in high demand for defense applications. N-type and P-type semiconductors are used in various systems, including border security solutions, UAVs (drones), and the Rafale fleet. Government sector spending on defense and space activities is driving the market. Radiation-tolerant components are essential for space-hardened microprocessors to withstand the harsh space environment and its effects, such as particle and electromagnetic radiation, electronic noise, and signal spikes. The communications sector, consumer automotive sector, and electronic devices sector are also contributing to the semiconductor market's growth. CAES (Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance) systems require advanced semiconductor technology. Military and aerospace applications, such as satellite launches and space activities, require semiconductors with short lead times and reasonable acquisition costs. The semiconductor market's future growth will depend on the development of radiation-tolerant components and the integration of semiconductors into various systems, including pilots, Boeing 757s, 767s, display screens, and logistics and aid packages. Global security, information security, and the increasing use of connected devices and electronic devices also present opportunities for the semiconductor market. However, challenges such as hacking incidents and the need for secure systems remain. The military and aerospace industry is witnessing significant growth in the adoption of Unmanned Aerial Vehicles (UAVs), also known as drones. These remotely controlled aircraft are increasingly used for various applications beyond military use, such as logistics and disaster relief. For instance, the United Arab Emirates is testing drones for firefighting and drug delivery. India is investing heavily in UAVs for military border security surveillance, with plans to purchase hi-tech drones like the MQ-9B from the US. UAVs offer cost-effective, efficient, and flexible solutions for various applications in the military and aerospace sectors. Request Sample of our comprehensive report now to stay ahead in the AI-driven market evolution! Market Challenges The semiconductor market in the military and aerospace industry faces unique challenges due to the specific requirements of these sectors. Microchips and integrated circuits (ICs) must be able to withstand extreme conditions, such as those found in the space environment. Pure elements like silicon, germanium, compounds, and gallium arsenide are used to create N-type and P-type semiconductors for defense applications. Government sector spending on military expenditure, defense modernization, and CAES drives demand for semiconductors in this industry. Semiconductors are essential for various sectors, including communications, electronic devices, and the military. Challenges include radiation effects from particle and electromagnetic radiation, electronic noise, and signal spikes. Space-hardened microprocessors are crucial for border security, terrorism prevention, and UAV solutions, such as those used in the Rafale fleet and F4 standard missiles. Semiconductor manufacturers must produce radiation-tolerant components to meet these demands. Lead time and acquisition cost are critical factors in the semiconductor market. Semiconductors are used in various applications, from Boeing 757s and 767s to display screens, UAVs, logistics, aid packages, museums, and global and information security. Semiconductors also play a role in satellite launches and space activities. Hacking incidents and connected devices add to the need for semiconductor solutions. The semiconductor market in the military and aerospace industry is capital-intensive, similar to the automotive sector. Establishing new semiconductor factories entails a substantial investment, with facility costs being a significant expense. The price of the building is a crucial factor. Manufacturing equipment is another substantial expenditure. Early semiconductor companies, like Motorola, would manufacture their equipment and produce chips. However, as technology advanced, this practice became less common. The high cost of both facilities and equipment necessitates ongoing investment to remain competitive in these industries. Discover how AI is revolutionizing market trends- Get your access now! Segment Overview This semiconductor market in military and aerospace industry report extensively covers market segmentation by 1.1 Memory 1.2 Logic 1.3 MOS microcomponents 1.4 Analog 1.5 Others 2.1 Defense 2.2 Aerospace 3.1 North America 3.2 APAC 3.3 Europe 3.4 Middle East and Africa 3.5 South America 1.1 Memory- Semiconductor memory plays a crucial role in the military and aerospace industry due to the increasing use of processors in various devices. Random Access Memory (RAM) and Read-Only Memory (ROM) are the primary types of semiconductor memory. RAM is a volatile memory that provides temporary storage for program codes and data, while ROM is a non-volatile memory that saves data permanently. The introduction of advanced technologies, such as programmable read-only memory (PROM) and dynamic random-access memory (DRAM), has expanded the memory options. The military and aerospace industries are witnessing significant technological advancements, with global semiconductor manufacturers launching new processors for high-reliability applications. For instance, Teledyne e2v HiRel Electronics' partnership with Integra Technologies Inc. To introduce 100V GaN/SiC RF power technology for aerospace and defense applications will further increase the demand for memory semiconductors. Additionally, the integration of technology in military weapons, such as Intelligun's fingerprint-locking system, and the growing use of the Internet of Things (IoT) in the aviation and military sectors will propel the demand for memory chips in the industry. Download a Sample of our comprehensive report today to discover how AI-driven innovations are reshaping competitive dynamics Research Analysis The semiconductor market in the military and aerospace industry is driven by the demand for advanced electronic systems in defense modernization and space exploration. Microchips and integrated circuits (ICs) made from pure elements like Silicon, Germanium, and compounds such as Gallium arsenide are essential for creating N-type and P-type semiconductors. The government sector is a significant consumer, with military expenditure fueling the demand for semiconductors in various applications. The communications sector, electronic devices sector, and consumer automotive sector also contribute to the market growth. The military and aerospace industry requires semiconductors that can withstand extreme conditions, such as those found in space. CAES (Computer Aided Engineering Systems) are used to design space-hardened microprocessors that can resist radiation effects and particle radiation in the space environment. Military applications include border security, terrorism detection, and UAV solutions, while defense budgets fund research and development of advanced technologies like Scalp missiles and the Rafale fleet's F4 standard engines. The semiconductor industry continues to innovate to meet the unique demands of the military and aerospace sector. Market Research Overview The semiconductor market plays a crucial role in the military and aerospace industry, supplying microchips and integrated circuits (ICs) made of various elements such as silicon, germanium, compounds, gallium arsenide, and others. N-type and P-type semiconductors are essential for creating electronic systems for defense applications. The government sector, defense modernization, and military expenditure drive the demand for semiconductors in this industry. Military and aerospace applications require semiconductors that can withstand harsh environments, including space-hardened microprocessors for satellite launches and space activities. Radiation effects, including particle radiation, electromagnetic radiation, electronic noise, and signal spikes, are significant challenges for semiconductors in these applications. The military and aerospace industry's semiconductor market caters to various sectors, including communications, electronic devices, border security, terrorism prevention, and UAV solutions. Semiconductors are used in defense systems, military aircraft like the Rafale fleet, and civilian aircraft such as Boeing 757s and 767s. They are also essential for display screens, logistics, aid packages, and museums. The semiconductor market for military and aerospace applications faces challenges such as long lead times and high acquisition costs. However, the growing need for global and information security, including protection against hacking incidents and connected devices, continues to drive demand for advanced semiconductor solutions. Table of Contents: 1 Executive Summary 2 Market Landscape 3 Market Sizing 4 Historic Market Size 5 Five Forces Analysis 6 Market Segmentation Product Memory Logic MOS Microcomponents Analog Others Application Defense Aerospace Geography North America APAC Europe Middle East And Africa South America 7 Customer Landscape 8 Geographic Landscape 9 Drivers, Challenges, and Trends 10 Company Landscape 11 Company Analysis 12 Appendix About Technavio Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios. Contacts Technavio Research Jesse Maida Media & Marketing Executive US: +1 844 364 1100 UK: +44 203 893 3200 Email: [email protected] Website: www.technavio.com/ SOURCE Technavio

Carnival Cruise Line makes a massive change to onboard casinosGrowth stocks can be a wild ride. The long-term upside usually comes with stomach-churning volatility. Monday.com ( MNDY 1.27% ) is currently experiencing ups and downs. At the time of this writing, shares have fallen approximately 28% from their highs. The company's software-as-a-service business model is disrupting how employees collaborate in the workplace, and additional catalysts like product expansion and artificial intelligence (AI) could produce long-term growth capable of delivering outsized returns. The company is executing at a high level, making this recent drop a buying opportunity. Here is what you need to know. Monday.com is poised to deliver long-term growth Monday.com's primary business is its cloud-based collaboration software. It's a low-code, highly customizable platform where people can organize tasks, share information, and integrate automation and apps to improve workplace efficiency. Today, over 225,000 customers use the product in 200 countries. The company's growth model is brilliant. It's free for the first two people in an organization, making it easy for any company to try. If they like it, the software spreads through the company, climbing the pricing ladder as more people use it. This sales process has produced a solid 111% net revenue retention rate , underlining how customers spend more over time. Monday.com's long-term upside depends on how it builds on its core project and task management software to penetrate adjacent markets. Since 2022, the company has launched several new products, including a customer relationship manager (CRM) for sales, Dev for product and development teams, and Service for IT and support. Monday.com has integrated various AI tools and features to enhance its products, leading to better user experiences and stickier customers. Today, Monday.com generates $906 million in annual revenue and grew over 32% year over year in Q3. How high Monday.com's ceiling is remains to be seen, but its product roadmap signals its intention to become a do-it-all enterprise software company. Some of the world's largest technology companies, like Adobe and Salesforce , deal in enterprise software. If Monday.com consistently converts companies to paid users and moves them up the pricing ladder, it will have a long growth runway. Elite execution, evidenced by its stellar Rule of 40 score Competition is fierce in enterprise software, with so many players that it can be hard to find the best of the bunch. Investors can use the Rule of 40 to identify which companies are performing at a high level. The Rule of 40 is a straightforward metric that measures a company's ability to grow without sacrificing profitability. Add a company's revenue growth rate to its free cash flow margin to calculate its Rule of 40 score. Anything 40 or above is typically considered a strong score: MNDY Operating Revenue (Quarterly YoY Growth) data by YCharts As you can see above, Monday.com grew revenue by 32.8% year over year in Q3 while converting 32.6% of its revenue to cash flow. That's a Rule of 40 score of just over 65, easily topping the standard benchmark. In other words, Monday.com's growth and pricing power show up in its financials. The stock is priced right after this decline Valuing Monday.com by its enterprise value against its revenue, the stock is well below its value coming out of the Everything stock market bubble in 2020 to 2021: MNDY EV to Revenues (Forward) data by YCharts Its valuation stands out (in a good way) compared to some of Wall Street's other top technology stocks, like CrowdStrike Holdings and Palantir Technologies . CrowdStrike's enterprise value-to-revenue ratio is almost double Monday.com's, yet it scored a lower Rule of 40 in Q3 (51). Palantir's Q3 Rule of 40 was a staggering 87, but its valuation is equally off the charts at an enterprise value-to-revenue ratio of 64. I would argue that Monday.com delivers better financial performance than most stocks today, yet its valuation is very reasonable compared to where other top tech stocks trade. If the company can continue its current path, Monday.com has a good shot at market-beating long-term investment results. If that happens, the stock probably won't stay this cheap forever.

In its recently released blueprint, Info-Tech Research Group is providing insurers with a comprehensive framework to tackle the growing challenges of data privacy in the age of AI. In the resource, the global research and advisory firm recommends AI training, strong data governance, and proactive risk management to help insurers safeguard personally identifiable information (PII) while using AI for underwriting, claims processing, and customer engagement. TORONTO , Dec. 13, 2024 /PRNewswire/ - As AI adoption continues to accelerate, the insurance industry is under increasing pressure to safeguard personally identifiable information (PII) against sophisticated data privacy risks. Global research and advisory firm Info-Tech Research Group explains in a newly published industry resource that traditional system safeguards and outdated legacy systems are proving insufficient to address the complexities of modern AI-driven processes, leaving insurers exposed to regulatory and technological vulnerabilities. To help insurers tackle these pressing challenges, Info-Tech Research Group's blueprint, Safeguard Your Data When Deploying AI in Your Insurance Systems , offers a strategic framework for integrating privacy-preserving AI solutions. The firm's resource features research insights and tools that will equip IT leaders in the insurance sector to strengthen compliance, mitigate risks, and protect PII while maintaining system performance. "Insurers handle vast amounts of data, from health records to financial histories, fed into AI systems that promise accuracy and efficiency but pose privacy concerns," says Arzoo Wadhvaniya , research analyst at Info-Tech Research Group . "A single breach could compromise thousands of customers' personal information, causing severe reputational and financial damage. It is not just about what AI can do; it is about ensuring it is done securely and ethically." In the blueprint, Info-Tech explains that traditional data safeguarding methods in the insurance industry are increasingly ineffective, as legacy systems often lack the flexibility to meet modern demands. The firm's research findings suggest that unfamiliarity with integrated AI technologies can lead to confusion among employees when assessing risks and determining appropriate applications. Complex regulatory requirements, which may not align with AI-driven processes, further heighten compliance challenges. To address these issues, Info-Tech recommends AI training programs to help employees understand associated risks and foster a culture of security and compliance. "Regulatory frameworks demand strict compliance, yet AI introduces complexities that make this harder. Insurers must ensure AI respects customer consent, limits data usage, and mitigates bias. Otherwise, the consequences could be costly in terms of both fines and lost trust," explains Wadhvaniya . Info-Tech's new resource provides IT leaders in the insurance industry with actionable strategies to address critical risks associated with generative AI. The firm emphasizes the importance of identifying insurance-specific risks and adopting a continuous improvement approach supported by metrics and a risk-based strategy aligned with a privacy framework tailored to organizational needs. The research highlights three key risks tied to generative AI: The firm advises the industry to take a proactive stance, implementing robust data governance practices, ensuring transparency, and fostering customer trust in the responsible use of AI. By leveraging insights from this blueprint, insurance companies can effectively address growing data privacy challenges while adopting advanced AI technologies for underwriting, claims processing, and customer engagement. For exclusive and timely commentary from Arzoo Wadhvaniya, an expert in IT strategies, and access to the complete Safeguard Your Data When Deploying AI in Your Insurance Systems blueprint , please contact pr@infotech.com . About Info-Tech Research Group Info-Tech Research Group is one of the world's leading research and advisory firms, proudly serving over 30,000 IT and HR professionals. The company produces unbiased, highly relevant research and provides advisory services to help leaders make strategic, timely, and well-informed decisions. For nearly 30 years, Info-Tech has partnered closely with teams to provide them with everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations. To learn more about Info-Tech's divisions, visit McLean & Company for HR research and advisory services and SoftwareReviews for software buying insights. Media professionals can register for unrestricted access to research across IT, HR, and software and hundreds of industry analysts through the firm's Media Insiders program. To gain access, contact pr@infotech.com . For information about Info-Tech Research Group or to access the latest research, visit infotech.com and connect via LinkedIn and X . View original content to download multimedia: https://www.prnewswire.com/news-releases/insurers-urged-to-safeguard-data-amid-rising-ai-adoption-and-privacy-risks-says-info-tech-research-group-302331530.html SOURCE Info-Tech Research GroupWelcome to Streaming Rewind, a weekly breakdown of the new and noteworthy as we work to help readers wade through the absolute deluge of television series and movies in the streaming space. Who’s ready for the holidays? I’m not. How is Christmas just two weeks away? Anyway, there’s plenty to watch this week, ranging from fun and festive to a preview of the religious debate some can be prepared for when they head home for the holidays (though, hopefully you have a better time than the missionaries in Heretic). Here’s what to watch this weekend in between frantically trying to finish your Christmas shopping. Red One (Prime Video) Red One may have been met with mixed (bad) reviews during its theatrical run, but what if I told you it was fun, actually? It’s most certainly not remarkable filmmaking, and The Rock and Chris Evans somehow have no chemistry on screen but oodles of it on red carpets, but it’s a Christmas movie! It’s cute and silly and warm and exactly as formulaic as we’ve all come to expect our Christmas movies to be. It’s also surprisingly lore-heavy, featuring both Krampus and Gryla the Christmas witch, which I found quite lovely. Secret Level (Prime Video) Prime Video’s big video game anthology series dropped this week, with episodes spanning consoles and titles. The length of the episodes holds it back a bit — 15 minutes is rarely long enough to tell a meaningful story — but if you love one of the titles featured in the first batch of episodes (Dungeons & Dragons, Sifu, Warhammer and more) then a glorified cut-scene may be enough to tickle your fancy. Heretic (Digital) Heretic has been a divisive one, which is typically a good signifier that a film is actually interesting. The film follows two Mormon Missionaries as they work to convert people to their flock but, unfortunately, they knock on the wrong door on their journey. While this one didn’t work for me personally , Hugh Grant, Sophie Thatcher and Chloe East all deliver stellar performances. The film goes well beyond the idea of a religious debate — something that many folks were worried about pre-release — but, for my money, it’s actually a stronger film while Grant and Thatcher are going toe to toe over theology and belief systems. Great British Bake Off: Holiday Edition (Netflix) It feels safe to assume that we’re all looking for something nice to watch this time of year, and GBBO always scratches that itch. They’re back in quick succession after the wrap of the recent season with another holiday edition of the series. Mark, Maxy, Maggie, Jürgen, George, Sophie, Dan, Amelia, Linda and Carole all return for the festive fun. Where to Watch Every Friday the 13th Movie Because obviously, right? Note: this is accurate at the time of publish, as streamers hot-potato titles every 30 seconds. (I know this is a streaming and digital column, but I also recommend you just buy the box set for any of these long-running horror titles, because licensing gets screwy through the decades.) Friday the 13th (1980) — Paramount+ Friday the 13th Part II (1981) — Paramount+ Friday the 13th Part III (1982) — Paramount+ Friday the 13th: The Final Chapter (1984) — Paramount+ Friday the 13th: A New Beginning (1985) — Paramount+ Friday the 13th Part VI: Jason Lives (1986) — Paramount+ Friday the 13th Part VII: The New Blood (1988) — Paramount+ Friday the 13th Part VIII: Jason Takes Manhattan (1989) — Paramount+ Jason Goes to Hell: The Final Friday (1993) — Rent or Buy on Digital Jason X (2002) — Rent or Buy on Digital Freddy vs. Jason (2003) — Max Friday the 13th (2009) — Max New on Streaming and Demand This Week Venom: The Last Dance — On Demand (December 10) Dream Productions — Disney+ (December 11) Maria — Netflix (December 11) Joker: Folie à Deux — (December 12) Max Dexter: Original Sin — (December 12) Paramount+ w/ ShowtimeGuidehouse Names Shannon White Leader of Defense & Security Segment

Katy Perry became emotional during an ‘American Idol’ audition after the potential contestant revealed he was a survivor of a school shooting. (ABC) Caleb Kennedy, known for making it to the top five during the 19th season of "American Idol," was sentenced to eight years in prison for a fatal 2022 DUI crash, Fox News Digital confirmed. Kennedy, 20, appeared in court in Spartanburg, South Carolina, Monday, where he pleaded guilty to a felony charge of driving under the influence where death results. He was sentenced to 25 years in prison with a $25,100 fine, with the sentence suspended to eight years with a $15,100 fine. He'll serve five years of his sentence with the South Carolina Department of Corrections and three in home detention, with credit being given for the time he's already served since his arrest. ‘AMERICAN IDOL' ALUM MANDISA DEATH AT 47 FOLLOWS LIFE OF STRUGGLES, FAITH, INSPIRATION Caleb Kennedy pleaded guilty to a charge of driving under the influence where death results. (South Carolina Department of Corrections; Eric McCandless/ABC via Getty Images) Following his release, Kennedy will be placed on probation for five years. He's also required to receive mental health and substance abuse counseling. Solicitor Barry J. Barnette, who prosecuted Kennedy, told Fox News Digital, "This case shows the dangers of vape pens to society." Barnette concluded the use of vape pens led to the death of Larry Parris, 54, the man killed in Kennedy's crash. Ryan Beasley, Kennedy's defense attorney, told Fox Carolina , "First of all, Caleb again wants to express his heartfelt sympathies to the Parris family. Caleb fully accepts his responsibility for this accident and hopes for healing for everyone affected by this tragedy." Caleb Kennedy was arrested Feb. 8, 2022. (Spartanburg County Jail via AP) "He’s got no record, and he was a minor when this happened," Beasley also told the Greenville News. "This wasn’t such an egregious act that you see most of the time, where people were drinking and driving then they hit somebody at night or going the wrong way down the road. This was a weird reaction from his prescription medicine and possibly THC." Before the Feb. 8, 2022, accident, Kennedy was said by prosecutors to have been smoking marijuana with a vape pen. His defense claimed his Prozac prescription had been increased at the time and that he'd had a bad reaction to it. Kennedy competed on the 19th season of "American Idol" but abruptly left after a video surfaced depicting him standing with someone who appeared to be wearing a KKK hood. (Christopher Willard via Getty Images) At the time, the South Carolina Highway Patrol told Fox News Digital, "A 2011 Ford pickup was traveling North on West Murph Road when the vehicle traveled onto a private drive ... and struck a building. A person inside the building sustained fatal injuries as a result of the collision." LIKE WHAT YOU’RE READING? CLICK HERE FOR MORE ENTERTAINMENT NEWS Kennedy was 16 when he appeared on "American Idol" in 2021, earning his way to a spot as a finalist before abruptly leaving the competition after a video surfaced of him standing next to a person seemingly wearing a Ku Klux Klan hood. Caleb Kennedy was 16 when he appeared on "American Idol." (ABC/Eric McCandless) "Hey y'all, this is gonna be a bit of a surprise, but I am no longer gonna be on American Idol. There was a video that surfaced on the internet and it displayed actions that were not meant to be taken in that way. I was younger and did not think about the actions, but that's not an excuse," he wrote in a social media post. CLICK HERE TO SIGN UP FOR THE ENTERTAINMENT NEWSLETTER Caleb Kennedy was in the top five when he left the "American Idol" competition. (ABC/Eric McCandless) "I wanna say sorry to all my fans and everyone who I have let down. I'll be taking a little time off social media to better myself, but saying that, I know this has hurt and disappointed a lot of people and made people lose respect for me. I'm so sorry!" CLICK HERE TO GET THE FOX NEWS APP The singer finished the statement by saying he prayed one day he'd gain back the trust of his fans. Emily Trainham is an entertainment editor for Fox News Digital.The future of software-development jobs is changing rapidly as more companies adopt AI tools that can and between junior- and senior-level developers. Increased AI adoption could be part of the tech industry's " ," which has seen slumps in hiring and recruitment over the past year. Yet integrating AI into workflows can offer developers the tools to focus on creative problem-solving and building new features. On November 14, Business Insider convened a roundtable of software developers as part of our " " series to learn how artificial intelligence was changing their jobs and careers. The conversation was moderated by Julia Hood and Jean Paik from BI's Special Projects team. These developers discussed the shifts in their day-to-day tasks, which skills people would need to stay competitive in the industry, and how they navigate the expectations of stakeholders who want to stay on the cutting edge of this new technology. Panelists said AI has boosted their productivity by helping them , which has freed up their time for higher-order problems, such as designing software and devising integration strategies. However, they emphasized that some of the basics of software engineering — learning programming languages, scaling models, and handling large-scale data — would . The roundtable participants also said developers could provide critical insight into challenges around and . The roundtable participants were: I think the expectations that are out there in the market for developers on the use of AI are actually almost a bigger impact than the AI itself. You hear about how generative AI is sort of solving this blank-paper syndrome. Humans have this concept that if you give them a blank paper and tell them to go write something, they'll be confused forever. And generative AI is helping overcome that. The expectation from executives now is that developers are going to be significantly faster but that some of the creative work the developers are doing is going to be taken away — which we're not necessarily seeing. We're seeing it as more of a boilerplate creation mechanism for efficiency gains. I joined Amazon two years ago, and I've seen how my productivity has changed. I don't have to focus on doing repetitive tasks. I can just ask Amazon Q chat to do that for me, and I can focus on more-complex problems that can actually impact our stakeholders and our clients. I can focus on higher-order problems instead of more-repetitive tasks for which the code is already out there internally. One of the big things I've noticed with writing code is how open companies have become to AI tools like and and how integrated they've become into the software-development cycle. It's no longer considered a no-no to use AI tools like ChatGPT. I think two years ago when ChatGPT came out, it was a big concern that you should not be putting your code out there. But now companies have kind of embraced that within the software-development cycle. Looking back at smartphones and Google Maps, it's hard to remember how the world looked like before these technologies. It's a similar situation with gen AI — I can't remember how I was solving the problem without it. I can focus more on actual work. Now I use AI as a kind of assisted tool. My main focus at work is on requirement gathering, like software design. When it comes to the coding, it's going to be very quick. Previously, it could take weeks. Now it's a matter of maybe one or two days, so then I can actually focus on other stuff as AI is solving the rest for me. In my role, it's been trying to help my team rethink their roles and not see AI as a threat but more as a partner that can help boost productivity, and encouraging my team to make use of some of the new embedded AI and gen-AI tools. Really helping my team upskill and putting learning paths in place so that people can embrace AI and not be afraid of it. More of the junior-level developers are really afraid about AI replacing them. : At Nice, we have something like 3,000 developers, and over the last, I think, 24 months, 650 of them have shifted into AI-specific roles, which was sort of unheard of before. Even out of those 650, we've got about a hundred who are experts at things like prompt engineering. Over 20% of our developers are not just developers being supported by AI but developers using AI to write features. I think one of the biggest things I've noticed in the last two to three years is the rise of a job title called " ," which did not exist before, and it's kind of in between an ML engineer and a traditional software engineer. I'm starting to see more and more companies where AI engineer is one of the top-paying jobs available for software engineers. One of the cool things about this job is that you don't need an ML-engineering background, which means it's accessible to a lot more people. For developers who are relatively new or code-literate knowledge workers, I think they can now use code to solve problems where previously they might not have. We have designers internally that are now creating full-blown interactive UIs using AI to describe what they want and then providing that to engineers. They've never been able to do that before, and it greatly accelerates the cycle. For more-experienced developers, I think there are a huge number of things that we still have to sort out: the architectures of these solutions, how we're actually going to implement them in practice. The nature of testing is going to have to change a lot as we start to include these applications in places where they're more mission-critical. On the other side, looking at threats that can come out of AI, new technologies and new positions can emerge as well. We don't currently have clear in terms of ownership or the issues related to gen AI, so I imagine there will be more positions in terms of ethics. I feel like a anymore to be a software developer. If you have some foundational ML, NLP knowledge, you can target some of these ML-engineer or AI-engineer roles, which gives you a great opportunity to be in the market. I'm seeing new career paths in specialized fields around ML and LLM operations. For my developers, they're able to focus more on strategy and system design and creative problem-solving, and it seems to help them move faster into architecture. System design, system architecture, and integration strategies — they have more time to do that because of AI. I think a developer operating an AI system requires product-level understanding of what you're trying to build at a high level. And I think a lot of developers struggle with prompt engineering from that perspective. Having the skills to clearly articulate what you want to an is a very important skill. Developers need to understand machine-learning concepts and how AI models work, not necessarily how to build and train these models from scratch but how to use them effectively. As we're starting to use Amazon Q, I've realized that our developers are now becoming because you have to get that prompt right in order to get the best results from your gen-AI system. Understanding how to communicate with these models is very different. I almost think that it imparts a need for engineers to have a little bit more of a product lens, where a deeper understanding of the actual business problem they're trying to solve is necessary to get the most out of it. Developing evaluations that you can use to optimize those prompts, so going from prompt engineering to actually tuning the prompts in a more-automated way, is going to emerge as a more common approach. Prompt engineering is really important. That's how you interact with AI systems, but this is something that's . Software development will change in five years much more rapidly than anything we've seen before. How you architect, develop, test, and maintain software — that will all change, and how exactly you interact with AI will also evolve. I think prompt engineering is more of a sign that some developers have the desire to learn and are eager to figure out how to interact with artificial intelligence, but it won't necessarily be how you interact with AI in three years or five years. Software developers will need this desire to adapt and learn and have the ability to solve hard problems. As a software developer, some of the basics won't change. You need to understand how to scale models, build scalable solutions, and handle large-scale data. When you're training an AI model, you need data to support it. Knowledge of a programming language would be helpful, specifically Python or even JavaScript. Knowledge of ML or some familiarity with ML will be really helpful. Another thing is that we need to make sure our applications are a lot more fault-tolerant. That is also a skill that front-end or back-end engineers who want to transition to an AI-engineering role need to be aware of. One of the biggest problems with prompts is that the answers can be very unpredictable and can lead to a lot of different outputs, even for the same prompt. So being able to make your application fault-tolerant is one of the biggest skills we need to apply in AI engineering. Part of the issue is that interacting with ChatGPT or cloud AI is so easy and natural that it can be surprising how hard it is actually to control AI behavior, where you need AI to understand constraints, have access to the right information at the right time, and understand the task. When setting expectations with stakeholders, it is important they understand that we're working with this very advanced technology and they are realistic about the risk profile of the project. One is helping them understand the trade-offs. It could be security versus innovation or speed versus accuracy. The second is metrics. Is it actually improving the efficiency? How much is the acceptance rate for our given product? Communicating all those to the stakeholders gives them an idea of whether the product they're using is making an impact or if it's actually helping the team become more productive. Some of the challenges I'm seeing are mainly around ethical AI concerns, , and costly and that go against budget and infrastructure constraints. On the vendor or stakeholder side, it's really more about educating our nontechnical stakeholders about the capabilities of AI and the limitations and trying to set realistic expectations. We try to help our teams understand for their specific business area how AI can be applied. So how can we use AI in marketing or HR or legal, and giving them real-world use cases. Gen AI is really important, and it's so easy to use ChatGPT, but what we find is that gen AI makes a good developer better and a worse developer worse. Good developers understand how to write good code and how good code integrates into projects. ChatGPT is just another tool to help write some of the code that fits into the project. That's the big challenge that we try to make sure our executives understand, that not everybody can use this in the most effective manner. There are some practical governance concerns that have emerged. One is understanding the tolerance for bad responses in certain contexts. Some problems, you may be more willing to accept a bad response because you structure the interface in such a way that there's a human in the loop. If you're attempting to not have a human in the loop, that could be problematic depending on what you want the model to do. Just getting better muscle for the organization to have a good intuition about where these models can potentially fail and in what ways. In addition to that, understanding what training data went into that model, especially as models are used more as agents and have to different applications and data sources that might be pretty sensitive. I think one of the biggest challenges that can happen is how companies use the data that comes back from LLM models and how they're going to use it within the application. Removing the human component scares me a lot. It's automation versus augmentation. There are a lot of cases where augmentation is the big gain. I think automation is a very small, closed case — there are very few things I think LLMs are ready in the world right now to automate. Read the original article onBELOIT - For a long time, Beloit was considered a hockey town. In the 1990s, the Beloit Youth Hockey Association was the largest youth hockey association in the state. Beloit Memorial High School's hockey team advanced to the state championship game in 1981 and 1989 and then finally won it in 1999. Javascript is required for you to be able to read premium content. Please enable it in your browser settings. Get any of our free email newsletters — news headlines, obituaries, sports, and more.

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Maybe 15 minutes before the Wild hosted and defeated the Nashville Predators on Saturday, general manager Bill Guerin took a few minutes to talk to the media about his first noteworthy acquisition of the season—the trade with Columbus, which will bring David Jiricek to the State of Hockey in the first few days of December. ADVERTISEMENT Maybe it’s just the pessimistic nature of a fanbase that hasn’t seen a men’s professional team play for a championship in more than three decades, but the grumbling had begun even before the collected media had reached the press box for Saturday’s game. “Seems like a lot to pay for a minor-leaguer,” was one of the comments overheard at the rink on Saturday. Indeed, to get Jiricek – the sixth overall pick in the 2022 NHL Draft – and a lower-round pick, Guerin surrendered defenseman Daemon Hunt and four draft picks, including Minnesota’s 2025 first-rounder and a second round pick in 2027. He wasted no time in getting an up-close look at the new guy, calling Jiricek up to the NHL level on Sunday, and sending former Gophers forward Travis Boyd back down to Iowa. Guerin and Blue Jackets general manager Don Waddell are old friends from their time working together with the Pittsburgh Penguins. But there was no discount offered from Waddell to his old pal in Minnesota. “It took awhile. Donny,” Guerin said with an exasperated grin. “He played with me. He’s one of my old mentors. He made me work for it. He’s the best.” ADVERTISEMENT Still, Guerin would not have pulled the trigger had he not believed in two things: 1) The Wild can turn all of Jiricek’s size (6-foot-4) and potential into another piece of their bright future on the blue line. 2) The price they paid was not as steep as it might look on the surface. To that second point, consider that Hunt was not really part of the Wild’s NHL-level defensive picture, even at a time like this when Jonas Brodin’s long-term viability is a serious question mark. And after getting two points with an overtime win over the Predators on Saturday, the Wild were tied for the most points in the NHL, meaning that at this pace, that 2025 first-round draft pick is going to come in the 25th spot or later. If the Wild go into a tailspin this season, the pick sent to Columbus is lottery protected, meaning the Blue Jackets will not get to pick in the top 10 at the Wild’s expense. ADVERTISEMENT To the first point, Jiricek is a player Guerin and his assistants have had their eye on for some time, even before he was named the top defenseman in the tournament while playing for Czechia in the 2023 World Juniors. “He’s not 30, he’s not a rental. He’s a 21-year-old defenseman that we can invest in. And we did. That’s how I look at it. It’s an investment,” Guerin said. In 2022, the Wild grabbed Liam Ohgren with the 19th overall pick, more than a dozen selections after Jiricek was picked by Columbus and was posing for pictures in a new red-white-and-blue sweater. ADVERTISEMENT “He was somebody that we really liked (during) his draft year. We knew we weren’t going to get him, but we liked him,” Guerin said. “And, you know, when this became available, I did my due diligence and asked our staff what they thought. They were all on board with it. So it’s good.” Perhaps in hopes of getting the fans on board, Guerin also stressed patience. Jiricek has not yet been a star in the NHL, despite his high draft stock. But the Wild are confident that their system of developing players — especially defensemen — is the change the new guy needs. “He’s a young player. He’s got a lot to learn. He’s going to continue to improve, just like all young players,” Guerin said, name-dropping two youthful every-night members of the Wild roster who still have ample room to grow. “Brock Faber’s got to get better. Matt Boldy’s still going to get better. All these guys are going to continue to improve because they’re so young. So just because they’re in the NHL doesn’t mean they’re not going to develop their game and get better. That’s our job as the coaches, management. That’s our job to help him get better.” If he has to spend some future draft capital to put those pieces in place, that is clearly a chance Guerin is willing to take. ADVERTISEMENT ______________________________________________________ This story was written by one of our partner news agencies. Forum Communications Company uses content from agencies such as Reuters, Kaiser Health News, Tribune News Service and others to provide a wider range of news to our readers. Learn more about the news services FCC uses here .Work in progress to reduce air pollution, enhance farm income: Nitin GadkariInformation Technology Operations Analytics Market: Trends, Size, Share, Growth, and Demand 2031