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NEW YORK , Dec. 9, 2024 /PRNewswire/ -- Report on how AI is driving market transformation - The global AI in games market size is estimated to grow by USD 4.5 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of 24.65% during the forecast period. Growing adoption of ar and vr games is driving market growth, with a trend towards increasing emergence of cloud gaming. However, network latency in between games poses a challenge. Key market players include Alphabet Inc., Capcom Co. Ltd., Charisma Entertainment Ltd., COGNOSPHERE PTE. LTD., Electronic Arts Inc., Konami Group Corp., Latitude, Microsoft Corp., NetEase Inc., Nintendo Co. Ltd., NVIDIA Corp., PrometheanAI Inc., Side Effects Software Inc., Sony Group Corp., Take Two Interactive Software Inc., Tencent Holdings Ltd., Theai Inc., Ubisoft Entertainment SA, Unity Software Inc., and Vivendi SE. Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View Free Sample PDF Market Driver Cloud gaming's adoption is growing due to its accessibility and cost-effective structure. Grid computing enables streaming of high-quality games to devices via wired or wireless connections. Cloud gaming eliminates the need for expensive hardware and offers click-to-play simplicity. AI plays a crucial role in optimizing cloud costs and enhancing gaming experiences. The global AI in games market will benefit from this trend, with AI-driven techniques like auto-scaling and cost visualization helping businesses control expenses. The AI market in the games industry is experiencing significant growth. With the integration of Virtual Reality (VR) and Augmented Reality (AR), games have become more interactive and engaging. Real-time analytics and machine learning technologies are used to enhance the player experience. Two prominent AI applications are NPCs (Non-Player Characters) and predictive analytics. NPCs provide realistic and dynamic gameplay, while predictive analytics help players improve their performance. Companies are investing in AI to create and personalized gaming experiences. The use of cloud computing and GPUs (Graphics Processing Units) enables the processing of large amounts of data in real-time. The future of AI in games is bright, with advancements in natural language processing and computer vision set to revolutionize the industry. Request Sample of our comprehensive report now to stay ahead in the AI-driven market evolution! • The AI in Games market experiences a major hurdle in the form of network latency. This delay between a player's action and the game server's response can negatively impact gameplay, particularly in multiplayer scenarios. Factors contributing to latency include internet connection quality, geographical distance, network infrastructure, player numbers, and server load. Despite its impact on market growth during the forecast period, efforts are ongoing to mitigate latency and enhance user experience. • In the rapidly growing AI in games market, developers face several challenges. They need to ensure that AI-powered gameforms are engaging and realistic, requiring complex programming and large datasets. Data collection and management is a significant challenge, as is ensuring that AI systems can adapt and learn in real-time. Additionally, integrating AI into existing game engines and ensuring compatibility with various platforms can be difficult. Furthermore, privacy concerns and ethical considerations must be addressed when implementing AI in games. Overall, the integration of AI in games presents numerous opportunities, but also requires careful planning and execution to overcome these challenges. Discover how AI is revolutionizing market trends- Get your access now! This ai in games market report extensively covers market segmentation by 1.1 AI enabled platforms 1.2 AI enabled games 2.1 Machine learning 2.2 Natural language processing 2.3 Computer vision 2.4 Robotics 3.1 North America 3.2 APAC 3.3 Europe 3.4 South America 3.5 Middle East and Africa 1.1 AI enabled platforms- AI platforms in the gaming industry facilitate the development, deployment, and maintenance of deep learning and machine learning models. These tools enable faster and more accurate data analysis, prediction, and action-taking, enhancing game production. Companies like Microsoft and Alphabet AI lead this change, offering advanced graphics, real-time interactions, and player behavior insights. AI's impact on game immersion and realism, through ray tracing and AI-powered virtual characters, is driving market growth during the forecast period. Download a Sample of our comprehensive report today to discover how AI-driven innovations are reshaping competitive dynamics The AI in Games market is experiencing significant growth, with advancements in AI algorithms, machine learning, and deep learning driving innovation. Virtual and augmented reality technologies, such as Microsoft HoloLens 2, are integrating AI to provide experiences. AI-generated content, including 3D representations and image upscaling, is enhancing the gaming experience. Euphoria, a middleware system, is utilizing AI to create realistic character behaviors. Games like Cyberpunk 2077, Battlefield V, Red Dead Redemption 2, and others are leveraging AI technologies, including neural networks and ray tracing, to deliver more engaging and predictive gameplay. Network latency is being addressed through AI-enabled platforms, while GPUs and CPUs continue to play crucial roles in powering 3D games. Data analysis and prediction are key applications of AI in gaming, providing personalized experiences for players. The AI in Games market refers to the integration of artificial intelligence technology in the development and creation of video games. This includes the use of machine learning algorithms for character behavior, non-player character interactions, and game design. AI in games can enhance the player experience by creating more realistic and dynamic game environments. It can also be used for game development tools, such as procedural content generation and game balancing. The use of AI in games is becoming increasingly popular, with many developers exploring its potential to create and engaging gaming experiences. The applications of AI in games span across various genres, from strategy and role-playing games to first-person shooters and sports simulations. The future of AI in games holds great promise, with advancements in technology expected to lead to even more sophisticated and interactive gaming experiences. 1 Executive Summary 2 Market Landscape 3 Market Sizing 4 Historic Market Size 5 Five Forces Analysis 6 Market Segmentation Type AI Enabled Platforms AI Enabled Games Technology Machine Learning Natural Language Processing Computer Vision Robotics Geography North America APAC Europe South America Middle East And Africa 7 Customer Landscape 8 Geographic Landscape 9 Drivers, Challenges, and Trends 10 Company Landscape 11 Company Analysis 12 Appendix 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. 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
The loading of power supply to a ship. In continuation of my previous column, this week I turn my focus the the pressing issue of carbon emissions — a cornerstone of sustainability efforts. Ports, as pivotal nodes in global trade and hubs of economic and logistical activity, are significant contributors to greenhouse gas (GHG) emissions, originating from various operational and supply chain activities. Understandably, the three primary categories of port emissions: Scope 1 (direct emissions), Scope 2 (indirect emissions from purchased energy), and Scope 3 (indirect emissions across the value chain). Scope 1 emissions, encompassing all direct greenhouse gas (GHG) emissions from sources owned or controlled by ports, represent a substantial component of their environmental footprint. These emissions arise from fuel combustion in port-owned vehicles, machinery and equipment, including diesel-powered cranes, forklifts, terminal tractors and harbor vessels. The primary challenges in managing Scope 1 emissions stem from heavy reliance on fossil fuels to power port operations and the high emissions generated by port-owned transport fleets. Mitigating these challenges requires the adoption of targeted strategies. One effective approach is fleet electrification, which involves transitioning diesel-powered vehicles and equipment to electric alternatives, such as electric forklifts, cranes, and cargo-handling machinery. This shift not only reduces emissions but also improves operational efficiency. In cases where full electrification is not yet practical, ports can explore cleaner fuel options, such as biodiesel or hydrogen. Additionally, optimizing equipment usage through improved scheduling and regular maintenance can further reduce fuel consumption and emissions. Another impactful measure is the implementation of onshore power supply (OPS) systems, which allow ships to connect to shore power while docked, significantly reducing emissions from auxiliary engines during their stay at port. Scope 2 emissions encompass indirect greenhouse gas (GHG) emissions generated from the production of purchased electricity, heat, or steam used by ports. These emissions are largely driven by electricity consumption for energy-intensive activities such as lighting, cooling and powering electrified systems. The main challenges include reliance on grid electricity, which is often sourced from fossil fuels, and the high energy demands of warehouses, terminals, and administrative buildings. Mitigation strategies for Scope 2 emissions focus on transitioning to renewable energy sources and improving energy efficiency. Ports can install solar panels on rooftops of warehouses and administrative buildings or on unused port land to produce clean, onsite energy. Upgrading to energy-efficient technologies, such as LED lighting, advanced HVAC systems, and smart building solutions, can significantly lower electricity usage. For ports where onsite renewable energy generation is not feasible, sourcing electricity from renewable energy providers ensures a cleaner energy mix. Additionally, integrating smart grid systems allows for real-time energy monitoring and optimization, enhancing efficiency and aligning consumption with sustainable practices. Scope 3 emissions, which include all other indirect emissions throughout the port’s value chain, present unique challenges due to their complexity and the limited control ports have over these activities. These emissions stem from various sources, such as equipment manufacturing, transportation by third-party logistics providers, and the carbon footprint of port users, including shipping companies. The variability and fragmented nature of supply chain emissions data further complicate efforts to manage them effectively. To mitigate Scope 3 emissions, ports can focus on fostering collaboration with stakeholders, including shipping lines, freight forwarders, and suppliers, to promote sustainable practices such as using energy-efficient ships and low-carbon fuels. Offering incentives for compliance can encourage the adoption of these greener measures. Sustainable procurement policies also play a crucial role by prioritizing suppliers with strong sustainability credentials and low-carbon production methods. Additionally, developing port infrastructure to support green shipping initiatives —such as LNG bunkering facilities and electric charging points for ships and vehicles — enables environmentally friendly operations. For emissions that cannot be avoided, ports can invest in verified carbon offset projects, such as reforestation or renewable energy initiatives, ensuring a balanced and comprehensive approach to managing their Scope 3 carbon footprint. An effective decarbonization strategy demands a comprehensive approach that embeds sustainability into the foundation of port operations. This involves setting clear and measurable sustainability targets, implementing transparent emissions reporting systems, encouraging innovation in green technologies and practices, and cultivating robust partnerships with stakeholders. The advantages of pursuing decarbonization extend beyond environmental benefits. They include ensuring regulatory compliance, boosting operational efficiency, strengthening stakeholder trust, and gaining a competitive edge in the industry. Malaysia’s dedication to reducing emissions reflects its alignment with global efforts to address climate change, particularly through its commitment to lowering carbon intensity under the Paris Agreement. This initiative plays a crucial role in safeguarding ecosystems, preserving air quality, and protecting marine life in Sabah and beyond. Globally, governments, including Malaysia, are enforcing stricter environmental regulations targeting ports and the shipping industry. Adopting a proactive stance on carbon management not only ensures regulatory compliance but also helps mitigate the risk of costly penalties. Decarbonizing ports is not merely an environmental responsibility; it is a strategic imperative for long-term success. By embracing renewable energy, optimizing operations, and fostering strong collaborations, ports can position themselves as leaders in environmental stewardship, shaping a sustainable and prosperous future for the global shipping industry.Former member of the state backward classes commission during the Bharat Rashtra Samithi (BRS) government Juluri Gowrishankar filed a public interest litigation (PIL) petition in the state high court on Saturday challenging the redesigning of the“Telangana Thalli” (Mother Telangana) as proposed by the ruling Congress party in the state. The Telangana activist filed the petition ahead of the opening of the new statue in the state secretariat on Monday. The upcoming inauguration will be done by chief minister A Revanth Reddy and has kicked up a political slugfest with the opposition BRS criticising the statue’s design saying that it does not represent Telangana’s identity. “The existing design of the statue was widely approved and appreciated by all sections of the people. Any changes in the design will deeply hurt the sentiment of the Telangana people,” Gowrishankar in the petition, which is expected to come up for hearing on Monday. The existing statue of Telangana Thalli, designed during the BRS regime in 2014, has the image of a goddess sporting a pink silk saree and wearing glittering gold ornaments like long necklace, bangles and waistband, besides a crown on the head. She has Bathukamma (a floral arrangement symbolising Telangana folk festival) in the left hand and cobs of maize and jowar in the right hand. “It is a symbol of our identity, created through consensus among Telanganites from all sections during the Telangana movement. It includes all elements that are truly Telangana,” the BRS said in a post on X. However, the redesigned statue of Telangana Thalli, the image of which was released to the media by the government on Friday, depicts her as a simple woman without any divine appearance. Draped in a green coloured cotton saree, the Telangana Thalli has simple-looking ornaments and ordinary bangles. She has cobs of maize and pearl millet in the left hand, while her right hand has a gesture of ensuring protection to the people. BRS working president K T Rama Rao told reporters that the redesigned statue deviates from traditional representations. He pointed out that the new statue lacks a crown, which undermines the divine and symbolic essence of Telangana Thalli. “It excludes Bathukamma, a symbol deeply intertwined with Telangana’s cultural identity. The statue’s hand gesture resembles the Congress party’s emblem, suggesting an attempt to politicize a cultural symbol,” he said. He accused the Congress leader Revanth Reddy of attacking Telangana’s history and identity out of political vendetta against BRS chief KCR. The Congress leaders defended the redesign of the statue. The state Congress committee president Mahesh Kumar Goud said the new Telangana Thalli statue reflects the rural ethos of Telangana, while the one projected by the BRS represented the feudal culture. “The statue reflects a humble Telangana woman, symbolising the state’s agrarian roots, dressed in a green saree with millet and paddy in hand,” he said. Another senior Congress leader, who did not wish to be quoted, said it was ridiculous on the part of KTR to say that the hand gesture symbolises the Congress party. “It is a gesture of reassuring the people. If the gesture reflects the Congress, does it mean Lord Venkateshwara of Tirumala or Lord Lakshmi Narasimha of Yadagirigutta, who also have similar hand gestures, are the Congress leaders?” he asked. He said Telangana’s identity transcends specific iconography like a crown or Bathukamma and instead focuses on representing the resilience and simplicity of its people. Meanwhile, the Telangana government formally invited KCR and Bharatiya Janata Party (BJP) state president G Kishan Reddy for the function to unveil the redesigned statue of Telangana Thalli at Secretariat on Monday. On behalf of the chief minister, his cabinet colleague Ponnam Prabhakar, along with advisor (protocol) Harkara Venugopal and senior officials of the protocol department, drove down to the farmhouse of KCR at Erravelli in Siddipet district and extended the invitation to formal chief minister. Later, he also met Kishan Reddy at his residence in Hyderabad and requested him to attend the event. Similar invitation was extended to AIMIM president Asadduddin Owaisi, people familiar with the matter said.
NoneNASHVILLE, Tenn. (AP) — The right frame can freeze a moment in time, creating meaning for the masses from a fist pump over a bloodied ear , a bridge crumbled by a ship , towns shredded by nature , and a victory sealed with an on-field kiss . In 2024, photographers across the U.S. captured glimpses of humanity, ranging from a deeply divisive presidential election , to hurricanes and fires that ravaged communities, to campus protests over the war between Israel and Hamas in Gaza. The gallery from The Associated Press illustrates a new chapter of political history — the assassination attempt on former President Donald Trump , the moment President Joe Biden announced he would no longer run again , the campaign sprint by Vice President Kamala Harris in Biden’s place, and the raw emotion from voters during a grueling contest ultimately won by Trump . Related Articles Hurricanes whipped through the country with devastating imagery, leaving a path of wreckage and death from Florida to Appalachia . After Hurricane Helene , Lake Lure in North Carolina was shown in a jarring photo covered in shards of debris thick enough to hide the surface of the water. Hurricane Milton ripped apart the roof of Tropicana Field in St. Petersburg, Florida, home to Major League Baseball’s Tampa Bay Rays. The scale of destruction experienced in some corners of the country in 2024 was hard to capture and might have been harder to fathom. That was the case when a container ship slammed into the Francis Scott Key Bridge in Baltimore, causing it to collapse and crumple around the vessel, killing construction workers on the bridge. As flames torched the landscape in California , another image captured firefighters and sheriff’s deputies pushing a vintage car away from a burning home. Elsewhere in California , one photo is aglow with bright orange flames, broken up only by the subtle features of an animal running through them. But hope also persevered in the face of devastation. In Helene’s aftermath , an image from Crystal River, Florida, shows Dustin Holmes holding hands with his girlfriend, Hailey Morgan, as they sloshed through floodwaters with her 4- and 7-year-old children to return to their flooded home. And in Manasota Key, Florida, a family was lit up by the glow of flashlights as they walked to check on their home damaged by Milton. Other photos from 2024 also grabbed the darkness and shadows to emphasize light: among them, a rocket liftoff and a total solar eclipse . And, yes, eclipse glasses were back in style for a shared moment of skygazing. But many other photos delivered a blast of color, from the spectrum of the northern lights across a Maine sky to a crew of workers wading into the deep-red of a Massachusetts cranberry bog . And, once again, Taylor Swift captured the country’s attention, even as a part of the crowd. She rushed down from the stands to kiss her boyfriend, Kansas City Chiefs tight end Travis Kelce, after the Chiefs won the AFC Championship , en route to another Super Bowl win.CEMEX, S.A.B. de C.V. (NYSE:CX) Shares Bought by Sanctuary Advisors LLC
New reliever Jordan Romano ready to go ‘electric’ for Phillies
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More With 77% of enterprises already victimized by adversarial AI attacks and eCrime actors achieving a record breakout time of just 2 minutes and 7 seconds , the question isn’t if your Security Operations Center (SOC) will be targeted — it’s when. As cloud intrusions soared by 75% in the past year , and two in five enterprises suffered AI-related security breaches , every SOC leader needs to confront a brutal truth: Your defenses must either evolve as fast as the attackers’ tradecraft or risk being overrun by relentless, resourceful adversaries who pivot in seconds to succeed with a breach. Combining generative AI (gen AI), social engineering, interactive intrusion campaigns and an all-out assault on cloud vulnerabilities and identities, attackers are executing a playbook that seeks to capitalize on every SOC weakness they can find. CrowdStrike’s 2024 Global Threat Report finds that nation-state attackers are taking identity-based and social engineering attacks to a new level of intensity. Nation-states have long used machine learning to craft phishing and social engineering campaigns. Now, the focus is on pirating authentication tools and systems including API keys and one-time passwords (OTPs). “What we’re seeing is that the threat actors have really been focused on...taking a legitimate identity. Logging in as a legitimate user. And then laying low, staying under the radar by living off the land by using legitimate tools,” Adam Meyers, senior vice president counter adversary operations at CrowdStrike, told VentureBeat during a recent briefing. Cybercrime gangs and nation-state cyberwar teams continue sharpening their tradecraft to launch AI-based attacks aimed at undermining the foundation of identity and access management (IAM) trust. By exploiting fake identities generated through deepfake voice, image and video data, these attacks aim to breach IAM systems and create chaos in a targeted organization. The Gartner figure below shows why SOC teams need to be prepared now for adversarial AI attacks, which most often take the form of fake identity attacks. Source: Gartner 2025 Planning Guide for Identity and Access Management. Published on October 14, 2024. Document ID: G00815708. Scoping the adversarial AI threat landscape going into 2025 “As gen AI continues to evolve, so must the understanding of its implications for cybersecurity ,” Bob Grazioli, CIO and senior vice president of Ivanti , recently told VentureBeat. “Undoubtedly, gen AI equips cybersecurity professionals with powerful tools, but it also provides attackers with advanced capabilities. To counter this, new strategies are needed to prevent malicious AI from becoming a dominant threat. This report helps equip organizations with the insights needed to stay ahead of advanced threats and safeguard their digital assets effectively,” Grazioli said. A recent Gartner survey revealed that 73% of enterprises have hundreds or thousands of AI models deployed, while 41% reported AI-related security incidents. According to HiddenLayer , seven in 10 companies have experienced AI-related breaches, with 60% linked to insider threats and 27% involving external attacks targeting AI infrastructure. Nir Zuk, CTO of Palo Alto Networks , framed it starkly in an interview with VentureBeat earlier this year: Machine learning assumes adversaries are already inside, and this demands real-time responsiveness to stealthy attacks. Researchers at Carnegie Mellon University recently published “ Current State of LLM Risks and AI Guardrails ,” a paper that explains the vulnerabilities of large language models (LLMs) in critical applications. It highlights risks such as bias, data poisoning and non-reproducibility. With security leaders and SOC teams increasingly collaborating on new model safety measures, the guidelines advocated by these researchers need to be part of SOC teams’ training and ongoing development. These guidelines include deploying layered protection models that integrate retrieval-augmented generation (RAG) and situational awareness tools to counter adversarial exploitation. SOC teams also carry the support burden for new gen AI applications, including the rapidly growing use of agentic AI. Researchers from the University of California, Davis recently published “ Security of AI Agents ,” a study examining the security challenges SOC teams face as AI agents execute real-world tasks. Threats including data integrity breaches and model pollution, where adversarial inputs may compromise the agent’s decisions and actions, are deconstructed and analyzed. To counter these risks, the researchers propose defenses such as having SOC teams initiate and manage sandboxing — limiting the agent’s operational scope — and encrypted workflows that protect sensitive interactions, creating a controlled environment to contain potential exploits. Why SOCs are targets of adversarial AI Dealing with alert fatigue, turnover of key staff, incomplete and inconsistent data on threats, and systems designed to protect perimeters and not identities, SOC teams are at a disadvantage against attackers’ growing AI arsenals. SOC leaders in financial services, insurance and manufacturing tell VentureBeat, under the condition of anonymity, that their companies are under siege, with a high number of high-risk alerts coming in every day. The techniques below focus on ways AI models can be compromised such that, once breached, they provide sensitive data and can be used to pivot to other systems and assets within the enterprise. Attackers’ tactics focus on establishing a foothold that leads to deeper network penetration. Reinforcing SOC defenses through AI model hardening and supply chain security SOC teams need to think holistically about how a seemingly isolated breach of AL/ML models could quickly escalate into an enterprise-wide cyberattack. SOC leaders need to take the initiative and identify which security and risk management frameworks are the most complementary to their company’s business model. Great starting points are the NIST AI Risk Management Framework and the NIST AI Risk Management Framework and Playbook . VentureBeat is seeing that the following steps are delivering results by reinforcing defenses while also enhancing model reliability — two critical steps to securing a company’s infrastructure against adversarial AI attacks: Commit to continually hardening model architectures. Deploy gatekeeper layers to filter out malicious prompts and tie models to verified data sources. Address potential weak points at the pretraining stage so your models withstand even the most advanced adversarial tactics. Never stop strengthing data integrity and provenance: Never assume all data is trustworthy. Validate its origins, quality and integrity through rigorous checks and adversarial input testing. By ensuring only clean, reliable data enters the pipeline, SOCs can do their part to maintain the accuracy and credibility of outputs. Integrate adversarial validation and red-teaming: Don’t wait for attackers to find your blind spots. Continually pressure-test models against known and emerging threats. Use red teams to uncover hidden vulnerabilities, challenge assumptions and drive immediate remediation — ensuring defenses evolve in lockstep with attacker strategies. Enhance threat intelligence integration: SOC leaders need to support devops teams and help keep models in sync with current risks. SOC leaders need to provide devops teams with a steady stream of updated threat intelligence and simulate real-world attacker tactics using red-teaming. Increase and keep enforcing supply chain transparency: Identify and neutralize threats before they take root in codebases or pipelines. Regularly audit repositories, dependencies and CI/CD workflows. Treat every component as a potential risk, and use red-teaming to expose hidden gaps — fostering a secure, transparent supply chain. Employ privacy-preserving techniques and secure collaboration: Leverage techniques like federated learning and homomorphic encryption to let stakeholders contribute without revealing confidential information. This approach broadens AI expertise without increasing exposure. Implement session management, sandboxing, and zero trust starting with microsegmentation: Lock down access and movement across your network by segmenting sessions, isolating risky operations in sandboxed environments and strictly enforcing zero-trust principles. Under zero trust, no user, device or process is inherently trusted without verification. These measures curb lateral movement, containing threats at their point of origin. They safeguard system integrity, availability and confidentiality. In general, they have proven effective in stopping advanced adversarial AI attacks. Conclusion “CISO and CIO alignment will be critical in 2025,” Grazioli told VentureBeat. “Executives need to consolidate resources — budgets, personnel, data and technology — to enhance an organization’s security posture. A lack of data accessibility and visibility undermines AI investments. To address this, data silos between departments such as the CIO and CISO must be eliminated.” “In the coming year, we will need to view AI as an employee rather than a tool,” Grazioli noted. “For instance, prompt engineers must now anticipate the types of questions that would typically be asked of AI, highlighting how ingrained AI has become in everyday business activities. To ensure accuracy, AI will need to be trained and evaluated just like any other employee.” Stay in the know! Get the latest news in your inbox daily By subscribing, you agree to VentureBeat's Terms of Service. Thanks for subscribing. Check out more VB newsletters here . An error occured.