Latest news with #GenAI
Yahoo
an hour ago
- Business
- Yahoo
Elastic price target lowered to $110 from $135 at Wedbush
Wedbush analyst Daniel Ives lowered the firm's price target on Elastic (ESTC) to $110 from $135 and keeps an Outperform rating on the shares. The firm notes Elastic delivered its Q4 results featuring strong beats on the top and bottom line, which will be largely overshadowed by FY26 revenue guidance that came in below Street expectations as enterprises are increasingly integrating GenAI into their operations, while the company is seeing more consumption scrutiny due to the murky macro. Easily unpack a company's performance with TipRanks' new KPI Data for smart investment decisions Receive undervalued, market resilient stocks right to your inbox with TipRanks' Smart Value Newsletter Published first on TheFly – the ultimate source for real-time, market-moving breaking financial news. Try Now>> See the top stocks recommended by analysts >> Read More on ESTC: Disclaimer & DisclosureReport an Issue Elastic price target lowered to $92 from $109 at Cantor Fitzgerald Guggenheim lowers Elastic price target, recommends buying on weakness Elastic price target lowered to $115 from $125 at Baird Elastic price target lowered to $112 from $140 at Stifel Elastic price target lowered to $115 from $120 at Morgan Stanley Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Economic Times
an hour ago
- Business
- Economic Times
The NYT paradox: Suing OpenAI, then signing with Amazon
NYT News Service The New York Times building in Manhattan The New York Times (NYT) has signed a licensing agreement with Amazon, allowing the tech giant to use its editorial content to train its artificial intelligence (AI) models. But this is not something new. Other media groups, such as News Corp — the owner of The Wall Street Journal, Barron's, MarketWatch, and The New York Post — struck similar deals with OpenAI in May last year. What makes this development notable or even ironic is the timing: it comes even as the NYT continues a legal battle with OpenAI and Microsoft for copyright infringement. The beginning In 2023, the NYT alleged that millions of its articles had been used without consent to help train their AI technologies. Back then, it was the first major US news outlet to sue OpenAI and Microsoft. "Defendants seek to free-ride on NYT's massive investment in its journalism by using it to build substitutive products without permission or payment," the lawsuit stated, as filed in Manhattan federal the NYT didn't specify a damages figure, it estimated that the unauthorised use of its content had caused 'billions of dollars' in harm. Additionally, the media company had spent $10.8 million by February this year on legal costs related to the generative artificial intelligence (GenAI) litigation, according to The Hollywood Reporter. NYT's case for collaboration 'The collaboration will make The New York Times's original content more accessible to customers across Amazon products and services, including direct links to Times products,' said NYT in a statement to further noted that the partnership highlights both companies' shared commitment to delivering global news and perspectives through Amazon's AI offerings. In addition, CEO Meredith Kopit Levien said, 'The deal is consistent with our long-held principle that high-quality journalism is worth paying for. It aligns with our deliberate approach to ensuring that our work is valued appropriately, whether through commercial deals or through the enforcement of our intellectual property rights.' Domino effect The NYT's move paved the way for other publishers to follow suit. Publications such as the New York Daily News, Chicago Tribune, Orlando Sentinel, and Florida's Sun Sentinel also filed lawsuits against OpenAI and claimed the tech companies had 'purloined millions of the publishers' copyrighted articles without permission and without payment.'However, the backlash wasn't limited to the United States. In November 2024, Indian news agency ANI launched legal action against OpenAI for using its published content without permission. It also alleged that ChatGPT falsely attributed fabricated stories to the agency. Just two months later, Indian media houses, including Gautam Adani's NDTV and Mukesh Ambani's Network18, also approached a New Delhi court, seeking to join the ongoing legal battle against the AI firm. Indian book publishers and their international counterparts joined in, too. Rising anxiety News organisations are increasingly anxious about the impact of AI on their workforce. One of the most recent examples is Business Insider, which announced layoffs affecting around 21% of its staff, according to Fox News the decision, CEO Barbara Peng said, 'The company is fully embracing AI,' noting that 70% of the team already uses Enterprise ChatGPT. She added that the goal is to achieve full journalism, creative professionals in writing, acting, and related fields also fear that AI will exploit their online work to produce competing content without fair compensation. AI models can already generate human-like text, images, and code in on the Amazon licensing deal, New York Times CEO Meredith Kopit Levien said, 'The deal is consistent with our long-held principle that high-quality journalism is worth paying for. It aligns with our deliberate approach to ensuring that our work is valued appropriately, whether through commercial deals or the enforcement of our intellectual property rights.'
Time of India
3 hours ago
- Business
- Time of India
The NYT paradox: Suing OpenAI, then signing with Amazon
The New York Times (NYT) has signed a licensing agreement with Amazon , allowing the tech giant to use its editorial content to train its artificial intelligence (AI) models. But this is not something new. Other media groups, such as News Corp — the owner of The Wall Street Journal , Barron's, MarketWatch, and The New York Post — struck similar deals with OpenAI in May last year. What makes this development notable or even ironic is the timing: it comes even as the NYT continues a legal battle with OpenAI and Microsoft for copyright infringement . by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Giao dịch CFD với công nghệ và tốc độ tốt hơn IC Markets Đăng ký The beginning In 2023, the NYT alleged that millions of its articles had been used without consent to help train their AI technologies. Live Events Back then, it was the first major US news outlet to sue OpenAI and Microsoft . Discover the stories of your interest Blockchain 5 Stories Cyber-safety 7 Stories Fintech 9 Stories E-comm 9 Stories ML 8 Stories Edtech 6 Stories "Defendants seek to free-ride on NYT's massive investment in its journalism by using it to build substitutive products without permission or payment," the lawsuit stated, as filed in Manhattan federal court. While the NYT didn't specify a damages figure, it estimated that the unauthorised use of its content had caused 'billions of dollars' in harm. Additionally, the media company had spent $10.8 million by February this year on legal costs related to the generative artificial intelligence (GenAI) litigation, according to The Hollywood Reporter. NYT's case for collaboration 'The collaboration will make The New York Times's original content more accessible to customers across Amazon products and services, including direct links to Times products,' said NYT in a statement to CNN. It further noted that the partnership highlights both companies' shared commitment to delivering global news and perspectives through Amazon's AI offerings. In addition, CEO Meredith Kopit Levien said, 'The deal is consistent with our long-held principle that high-quality journalism is worth paying for. It aligns with our deliberate approach to ensuring that our work is valued appropriately, whether through commercial deals or through the enforcement of our intellectual property rights .' Domino effect The NYT's move paved the way for other publishers to follow suit. Publications such as the New York Daily News, Chicago Tribune, Orlando Sentinel, and Florida's Sun Sentinel also filed lawsuits against OpenAI and Microsoft. They claimed the tech companies had 'purloined millions of the publishers' copyrighted articles without permission and without payment.' However, the backlash wasn't limited to the United States. In November 2024, Indian news agency ANI launched legal action against OpenAI for using its published content without permission. It also alleged that ChatGPT falsely attributed fabricated stories to the agency. Just two months later, Indian media houses, including Gautam Adani's NDTV and Mukesh Ambani's Network18, also approached a New Delhi court, seeking to join the ongoing legal battle against the AI firm. Indian book publishers and their international counterparts joined in, too. Rising anxiety News organisations are increasingly anxious about the impact of AI on their workforce. One of the most recent examples is Business Insider, which announced layoffs affecting around 21% of its staff, according to Fox News Digital. Explaining the decision, CEO Barbara Peng said, 'The company is fully embracing AI,' noting that 70% of the team already uses Enterprise ChatGPT. She added that the goal is to achieve full adoption. Beyond journalism, creative professionals in writing, acting, and related fields also fear that AI will exploit their online work to produce competing content without fair compensation. AI models can already generate human-like text, images, and code in seconds. Speaking on the Amazon licensing deal, New York Times CEO Meredith Kopit Levien said, 'The deal is consistent with our long-held principle that high-quality journalism is worth paying for. It aligns with our deliberate approach to ensuring that our work is valued appropriately, whether through commercial deals or the enforcement of our intellectual property rights.'
Hans India
11 hours ago
- Business
- Hans India
Beyond resumes: How Gen AI is redefining recruitment
Recruitment is undergoing a tech revolution, with HR leaders embracing generative AI at every stage of hiring. From context-driven resume screening to AI-enabled interviews and adaptive assessments, the technology is boosting efficiency, accuracy, and candidate experience. As tools like and HireVue take the lead, recruiters are finding more time to focus on what matters most: understanding people beyond the paper HR professionals are proving to be some of the keenest adopters of generative AI technology. According to recent research by Gartner, 38% of HR leaders are already piloting, planning, or implementing Gen AI initiatives. With use cases spanning resume screening, candidate engagement, assessments, and internal operations, generative AI is quickly becoming a valuable partner in the recruitment process. As organizations explore its growing capabilities, AI is set to reshape how talent is sourced, evaluated, and managed—enhancing efficiency while keeping human judgment at the core. Impact of Gen AI on recruitment Recruitment is seeing a change with AI-driven tools optimizing various aspects, from application tracking to candidate engagement. Traditional applicant tracking systems (ATS) have long relied on keyword matching and fixed filters to screen resumes. While they are efficient at handling large volumes, they often miss qualified candidates who do not use the exact terms expected. Generative AI is shifting this approach by focusing on context and intent rather than just word matches. For instance, LinkedIn Recruiter's AI assistant can identify candidates with transferable skills and relevant career progressions—even if their job titles don't directly match the role. A data analyst might still be a strong fit for a business intelligence position based on their tools and outcomes. Platforms like take it further by reading between the lines. If a candidate led a CRM migration, the system can infer related skills such as data integration, change management, and customer lifecycle strategy—even if these are not explicitly mentioned. Some tools also generate plain-language summaries of candidate profiles, giving recruiters a quick, clear snapshot of strengths without needing to decode jargon. Others, like HireVue, enhance the process with AI-integrated video interviews to assess communication skills and simulate real-world scenarios. Gen AI based automated proctored assessments Once candidates are shortlisted, they undergo written tests to evaluate aptitude, technical knowledge, and behavioral traits. These tests go beyond technical proficiency—they also assess cultural fit, adaptability, and problem-solving ability. For instance, Capgemini uses AI-powered assessments to evaluate domain expertise and cognitive skills, resulting in a 40% improvement in hiring efficiency. However, Gen AI-based assessments bring a deeper layer of intelligence and adaptability to the process. Unlike traditional AI, Gen AI systems are capable of learning continuously, recognizing patterns, making contextual decisions, and evolving over time—similar to human cognition. This means Gen AI can detect subtle anomalies, adapt to new test-taking behaviors, and refine its proctoring mechanisms with each session. For example, it can use facial recognition to flag impersonation attempts, or analyze eye movement, facial expressions, and typing patterns to detect potential cheating. Over time, these models become smarter, making the evaluation process more secure, unbiased, and scalable. Gen AI-enabled interviews AI is reshaping interviews through automated scheduling and AI-led interactions. Platforms like Incruiter use natural language processing (NLP) to assess responses for tone, confidence, and coherence, offering recruiters structured insights. For example, Unilever's AI-driven interviews evaluate facial expressions, speech patterns, and word choice—cutting hiring time by 75%. Gen AI builds on this by enabling adaptive, dynamic interviews. Instead of asking preset questions, the system can tailor follow-ups based on a candidate's previous answers. It recognizes context, adjusts in real time, and improves with each interaction. For example, HireVue uses Gen AI to simulate real-world scenarios, offering role-specific questions and evaluating not just what candidates say, but how they think and respond under pressure. Rise of agentic AI in HR AI is progressing beyond assistance to autonomous execution. Agentic AI independently handles multi-step HR tasks—such as sourcing, screening, and scheduling—minimizing manual input. HireVue, for example, uses asynchronous AI interviews to evaluate candidates using speech and facial analysis. Goodspace AI monitors employee wellness, predicts engagement drops, and suggests interventions. SourceBae deploys agentic AI to autonomously source and vet tech candidates. In one case, a mid-sized tech firm seeking React developers used Agentic AI to source 80 candidates, screen 30 via chatbot-led interviews, and schedule 10 for finals—cutting recruiter workload by 60% and time-to-hire by 40%. These systems also support retention and workforce planning by learning continuously, making them particularly valuable in fast-growing or lean HR environments. Generative AI is set to permeate the entire recruitment lifecycle—from screening to onboarding—playing a key role in driving both productivity and quality in hiring. Routine tasks and standard activities will increasingly be handled by AI, allowing HR professionals to focus on high-value areas such as behavioral assessment, cultural fit, and strategic decision-making.
Yahoo
20 hours ago
- Business
- Yahoo
Why Elastic (ESTC) Shares Are Falling Today
Shares of search software company Elastic (NYSE:ESTC) fell 12.5% in the afternoon session after the company reported weak first quarter (fiscal Q4) results: its full-year revenue guidance slightly missed and its revenue guidance for next year suggested a slowdown in demand. The company projected just 12% revenue growth for fiscal 2026, compared to the 17% growth in the previous year. On the other hand, Elastic reported strong growth in customers, and its full-year EPS guidance trumped Wall Street's estimates. Overall, this print was mixed. The market seemed to be hoping for more. The stock market overreacts to news, and big price drops can present good opportunities to buy high-quality stocks. Is now the time to buy Elastic? Access our full analysis report here, it's free. Elastic's shares are quite volatile and have had 19 moves greater than 5% over the last year. But moves this big are rare even for Elastic and indicate this news significantly impacted the market's perception of the business. The biggest move we wrote about over the last year was 6 months ago when the stock gained 30.8% on the news that the company reported a "beat and raise" quarter. Elastic blew past analysts' billings and revenue estimates, primarily driven by strong growth in the cloud business, which rose 25% year on year. Despite some of the challenges recorded in recent quarters, the improved top-line performance suggested that the focus on key enterprise and high-potential mid-market customers was bearing fruit. On the product front, the company observed signs of accelerating demand for its Generative AI offerings. New customer commitments with GenAI almost doubled in dollar volume compared to the previous quarter, and three of the deals signed were greater than $1 million in annual contract value. Earnings also exceeded expectations as the sales strength combined with disciplined spending and improved efficiency. As a result, the company was able to provide encouraging guidance as it raised its revenue, profits, and earnings forecast for the full year. Overall, we think this was a solid "beat-and-raise" quarter. Following the results, Baird upgraded the stock from Neutral to Outperform (Buy), citing "a significant unexpected turnaround in execution, evident in Q2′s results, highlighted by strong commitments, healthy consumption, improved win-rates and GenAI-inflection validating our medium-term/long-term thesis.". Elastic is down 19.2% since the beginning of the year, and at $80.07 per share, it is trading 34.5% below its 52-week high of $122.27 from July 2024. Investors who bought $1,000 worth of Elastic's shares 5 years ago would now be looking at an investment worth $893.04. Today's young investors likely haven't read the timeless lessons in Gorilla Game: Picking Winners In High Technology because it was written more than 20 years ago when Microsoft and Apple were first establishing their supremacy. But if we apply the same principles, then enterprise software stocks leveraging their own generative AI capabilities may well be the Gorillas of the future. So, in that spirit, we are excited to present our Special Free Report on a profitable, fast-growing enterprise software stock that is already riding the automation wave and looking to catch the generative AI next. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
