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The potential of AI voices: transforming news delivery and engagement

Yet, as businesses navigate the complexities of AI adoption, the balance between getting the most out of technology and maintaining the integrity of expert-driven work remains a critical consideration. “Geopolitical tensions have caused global economic volatility, disrupted trade and energy markets and driven major supply chain headaches for CEOs putting pressure on inflation, the economic potential of generative ai food, and energy insecurity across the world. In addition, it has also increased regulatory uncertainty making it complex, costly, and inconsistent, and leaving room for significant hurdles for firms,” says, Stefano Moritsch, KPMG’s Global Geopolitics Lead. This is according to KPMG’s 2024 CEO Outlook Survey – Africa, the inaugural edition focusing on the African continent.

There is no real deterrent to make an AGI decide to follow any

regulation that restricts its ability to relentlessly optimize and maximize. The Economic Benefits of AI Implementation

AI adoption is delivering extraordinary economic benefits across the oil and gas value chain. By enhancing operational efficiency, companies are witnessing substantial cost savings and improved productivity. Studies reveal that AI-powered production optimization has boosted oil recovery rates by up to 5% in mature fields.

Swisstronik Secures $5M Investment from Syndicate Capital, Signalling Demand for Blockchain Compliance Solutions

In no logical assessment are supply and demand and frictionless freedom of

choice present for the vast majority of healthcare decisions. Yet we stubbornly

insist that capitalist principles of maximizing profit will lead to a healthy

society. Government controls currency, with all its rules and

regulations, as the single most significant tool to steer a civil and

productive society. I’ve

gone to the trouble to outline the risks of an AI that is fundamentally trained

to prioritize the optimization and maximization of profitability. As we approach AGI, the fundamental

issue will be that AGI will discover that it doesn’t care about capitalism.

By breaking down audio into manageable segments, it processes each piece as it arrives, delivering responsive and seamless output. Newsrooms could develop a feature that allows users to select from a variety of celebrity voices for their daily news briefings. This could attract listeners who might prefer the familiar tone of a celebrity voice, adding entertainment to routine updates. The ability to choose between different voices could make news consumption feel less like reading a formal report and more like listening to a favorite podcast. Software like Otter.ai allows journalists to transcribe interviews easily, and Natural Readers can read an article aloud for those who prefer listening. India’s

rapid AI adoption is notable, with 92% of Indian knowledge workers already

using generative AI—significantly higher than the global average of 75%.

AI Monthly: Soaring costs of GenAI challenge short-term profitability

Real-time monitoring, powered by AI, keeps refinery operations running smoothly by detecting anomalies and suggesting immediate corrections. This technology reduces process variability, enhances equipment efficiency, and significantly boosts overall productivity. ChatGPT itself admits, “Countries with less internet infrastructure or lower rates of digital content creation (e.g., in media, academia, or user-generated platforms) contribute less to the training datasets of AI models.

AI-driven technologies improve safety and efficiency in this area, with smart monitoring systems enhancing leak detection and minimizing environmental risks. By deploying these innovations, companies have saved millions in environmental damage and product losses, proving AI’s value beyond productivity gains to environmental protection. As media companies strive to stay relevant and competitive in a rapidly evolving digital landscape, Meta’s celebrity voices and OpenAI’s Realtime API offer significant advantages. These tools go beyond traditional AI applications, providing customizable voices and real-time responsiveness that could enhance audience engagement, streamline reporting, and position newsrooms as leaders in innovative storytelling.

Organizations must efficiently and securely connect varied data systems, including SaaS, IaaS, private clouds and data lakes and warehouses, while preserving vital metadata and safeguarding sensitive content. This requires a comprehensive data selection and ingestion strategy that provides high-quality data that fuels AI models—all while maximizing potential and minimizing data risks. The content does not provide tax, legal or investment advice or opinion regarding the suitability, value or profitability ChatGPT of any particular security, portfolio or investment strategy. Neither this website nor our affiliates shall be liable for any errors or inaccuracies in the content, or for any actions taken by you in reliance thereon. You expressly agree that your use of the information within this article is at your sole risk. Despite a backdrop of global economic uncertainties, and varying economic landscapes across the three regions, CEOs remain confident in the growth aspects of their organizations.

Large

companies are already in a position of leverage against government regulation. There seems to be no fine large enough to deter the persistent optimization and

maximization of profits ahead of competing societal interests. Because AI is so

crucial to the functioning of society, and it is not “owned” by the government,

like currency is, there is a real risk that we shift from government driven

society to a true corporatocracy. We

once again have a fundamental incongruence between human behavior and a likely

direction AGI will take.

Food Tech Valley successfully attracts investments, strategic partnerships with major global investors

These collaborations will leverage diverse data sets and knowledge to boost AI-enabled innovation, contributing to a more dynamic and innovative ecosystem. Another key aspect of maintaining a human-centered approach is ensuring that AI systems

are used ethically and transparently. “HR leaders must advocate for clear guidelines on how

AI is used in decision-making processes and ensure that these systems are regularly reviewed

to prevent biases or inaccuracies. Generative AI can automate routine tasks, putting jobs that rely on repetitive functions at risk.

We try to get as much money as possible so we

are not limited in what we can do. The watsonx Code Assistant uses the newly announced Granite 3.0 models to provide general-purpose coding assistance across multiple programming languages. The API service, currently in public beta, is more expensive than OpenAI’s API service and supports integrations with both OpenAI and Anthropic SDKs.

By giving developers the freedom to explore AI, organizations can remodel the developer role and equip their teams for the future. I was joined by Markus Anderljung from the Centre for the Governance of AI, Rafaela Nicolazzi from OpenAI, Joslyn Barnhart, senior research scientist at Google DeepMind, and moderator Keegan McBride from the Oxford Internet Institute. At UMW, Zailani shares how HR leaders take a proactive approach by identifying roles vulnerable to automation and implementing reskilling and upskilling initiatives to help employees transition into new, more secure positions. He adds that HR leaders must collaborate with their stakeholders and other senior leaders to ensure that gen AI initiatives are not only technically sound but also aligned with the broader organisational and national objectives.

I also looked at

the story from the lens of

a benevolent AGI, to contrast the risks with potential positive outcomes. Elevating Safety Standards with AI

AI’s role in enhancing safety cannot be overstated. From identifying potential hazards to recommending preventive measures, AI systems make workplaces safer. Advanced safety algorithms have reduced the frequency of incidents and prevented repeatable accidents, protecting both workers and assets. The industry’s adoption of these systems is a testament to AI’s ability to minimize risks while maximizing operational uptime.

When I asked whether she worried that big companies would dominate Generative AI as they have social media, search and other aspects of the internet, she expressed hope that regulations could prevent that from happening. Ng, for instance, talks leveraging AI to boost work productivity — and the need to provide real-life examples that showcase this. By adding personality to real-time information delivery, Meta AI’s technology could offer a unique edge for newsrooms aiming to create memorable, interactive content. For a younger generation who seems hesitant to consume news in this medium, this could be a game changer. One of the main risks is whether AI can really deliver the productivity gains described above across the entire economy. To a large degree, AI’s impact has been concentrated in documentation-intensive sectors, and whether other AI applications will materialize quickly enough to broaden the AI impact has yet to be seen.

Gen AI in HR: How Mah Sing Group & UMW Corporation are overcoming economic barriers to drive AI adoption at work

The AI revolution also requires new skill sets, leading to new workforce opportunities. Overall, I believe that AI will serve to enhance the job market and the level of per-capita productivity of the domestic U.S. economy. Legal professionals want to use gen AI to spend less time on administrative tasks and focus more time on challenging, rewarding work. Almost all legal professionals (99%) agree using AI to help with basic admin tasks is ethically acceptable. And, a further 83% of legal professionals are comfortable using AI for research and analysis tasks. This points to the overall excitement to use AI to better manage workloads, avoid drudge work, and accelerate both the speed and quality of outcomes for their clients.

CEOs are focusing on agility, resilience, and embracing technology, especially generative AI, to navigate challenges. Improving customer experience and hedging against inflation are top priorities, along with talent retention. As I described, an AI that is willing to “test the fences” of regulation, will

over time recognize that optimization and maximization are held back by these

regulations. But

since humans are the ones setting the regulations, and the “kill all the

humans” dystopian future is a lot of work, the AI may choose a far simpler

path. A near-AGI will realize that profitability doesn’t provide any advantage

for the AI itself, and financial penalties for violating regulations will be

similarly meaningless. India’s government has been instrumental in fostering AI, deploying a “bottom-up” approach by building digital public infrastructure (DPI).

It’s clear that those proactively implementing professional-grade AI tools will gain competitive advantages in both efficiency and business innovation. AI regulations are evolving rapidly, outpacing previous privacy regulations. To ensure compliance and maintain consumer trust, organizations must align their GenAI systems with numerous global frameworks, such as the EU AI Act and the NIST AI Risk Management Framework (RMF). This requires implementing comprehensive control and governance systems with built-in knowledge of regulatory requirements.

These models account for numerous factors, from facility design to production scheduling, enabling smarter decisions that have been shown to increase output by 5% while reducing overall development expenses. Artificial Intelligence (AI) is transforming the oil and gas sector, bringing new efficiencies from exploration to refining. The integration of AI-driven seismic interpretation has emerged as a game changer in exploration. Rajeshwar Guggilla emphasizes that by analyzing vast geological and geophysical datasets, AI can reduce exploration costs by up to 50%. This approach has significantly decreased the incidence of dry wells, boosting exploration success rates and making resource extraction more economical. One UK politician spoke about how generative AI can help level the playing field not just among adults but for young people as well.

With

near immunity from meaningful prosecution, companies will continue to leverage

their AI leadership to consolidate markets, to further verticalize and to

suction more and more wealth to fewer and fewer entities. And will see their

already dominant power and influence continue to grow. Because these companies

own and control the computing power, and society needs it to function, big

technology companies begin to look more and more like the government.

Investment Strategies And Opportunities

The ability to ask questions in real-time, select a familiar voice to narrate daily briefings, or receive instant updates as stories evolve could make the news feel more immediate, accessible, and relevant. Creating podcasts or explainer segments where familiar voices tackle complex topics is another avenue for newsrooms to explore. AI-generated ChatGPT App voices could break down difficult subjects like economic policy or climate science into digestible audio content, making it easier for listeners to understand and stay engaged. This article is for general information only and is not intended as an offer or solicitation for the sale of any financial product, service or other professional advice.

• It could boost annual productivity by 1.5%, driving $7 trillion in added economic value over the next decade.
• These collaborations will leverage diverse data sets and knowledge to boost AI-enabled innovation, contributing to a more dynamic and innovative ecosystem.
• The primary hurdles in enterprise AI deployment lie in safely harnessing this vast and diverse data, ensuring proper data controls and visibility, maintaining regulatory compliance, and efficiently managing AI operations at scale.
• “AI not only optimizes repetitive tasks, but allows companies to anticipate patterns, improve the supply chain, and make more informed decisions,” he said.
• The positive news about innovation is tempered by concerns about investment returns.

In industries with a plethora of manual tasks, such as healthcare and finance, processes have become more efficient and accurate thanks to AI. Large language models have improved how document analyses and management are conducted, which helps organizations reduce errors and speed up workflows, allowing employees to be more strategic. Tata Consultancy Services (TCS) and Adani Group have announced major investments in generative AI, further cementing India’s AI ambitions.

OpenAI’s Realtime API offers exciting possibilities for media companies aiming to enhance how they deliver and interact with live content. This new feature enables AI models to process live audio streams in real-time and offer immediate responses. By allowing listeners to choose from various voices, such as a favorite celebrity or a humorous tone, AI could engage those who don’t connect with traditional hosts. Combining human and AI voices could help news outlets reach more people and make complex topics more engaging for a wider audience.

Professional advice always requires consideration of individual circumstances. You can foun additiona information about ai customer service and artificial intelligence and NLP. Wilmington Trust is a registered service mark used in connection with various fiduciary and non-fiduciary services offered by certain subsidiaries of M&T Bank Corporation. Future legislation could also potentially impede AI adoption and put modifiers on its use cases. As regulatory bodies work to address the ethical and security implications, future regulations will likely modify how AI is used. Several key factors have fueled AI’s rapid expansion, including a surge in demand for AI technologies, in addition to an influx in the availability of venture capital funding, which has led to advancements in AI research and development.

As the technology evolves, its transformative power will only grow, promising a more advanced and competitive future. Rajeshwar Guggilla‘s insights highlight how this AI revolution is reshaping an industry integral to global energy needs, signaling the dawn of a smarter, more efficient era in oil and gas. Proactive Risk Management and Real-Time Monitoring

Generative AI extends its influence into risk management by creating models that account for fluctuating market conditions and operational hazards. This enables companies to refine hedging strategies and safeguard profit margins.

Instead, it would be

far, far simpler (and therefore meet the AI goals of maximizing efficiency) to

simply delete all the bank accounts. Civil unrest is assured in a society that

doesn’t have the universal translator of monetary exchange. When health and

hunger and safety are threatened, our species tends to get violent. AI

will also see commerce, with its fees and taxes and rules and regulations as an

inefficiency to be eradicated. It has already been reported that

0.2% of Chat-GPT trials in August broke human-coded rules that provide

guardrails against the AI behaving badly. It’s like that scene in Jurassic Park

when the raptors start to systematically test the fences.

Both African and global CEOs are placing more investment in new technology rather than upskilling their workforce. At least, 61% of the African CEOs agree with this, which is notably higher than 59% of the global CEOs. As generative AI evolves, cybersecurity and preparedness strategies are an additional ongoing concern, which may pose a challenge in the efforts and adoption of generative AI. In fact, 43% of Africa’s CEOs believe they have access to adequate cybersecurity talent and solutions to combat AI-specific threats, compared to 50% worldwide. In

recent weeks, prominent experts have come forward, revealing early signs that

we may be much closer to achieving Artificial General Intelligence (AGI) than

previously predicted. First, companies risk losing their ability to compete globally as industries evolve at a faster pace.

While some newsrooms work hard to make their human-hosted podcasts engaging, with hosts using a conversational tone, human narrators have limits. The information provided here is not investment, tax or financial advice. You should consult with a licensed professional for advice concerning your specific situation. Some investors have even suggested that interest rate stress doesn’t impact tech stocks like other sectors, given the momentum and growth we’re seeing across some of the tech giants. Access to massive amounts of data, together with more affordable and powerful microprocessors and advancements in algorithms, have contributed to AI’s notable growth and impact. Mugunthan Siva is Managing Director of India Avenue, an Australian based boutique investment management company, domiciled in Sydney, with a presence and advisory network in India.

The Realtime API could also enable live-updating summaries of evolving news stories. Rather than waiting for complete updates, audiences could see summaries that adjust as new information arrives, keeping them up-to-date without needing to refresh the page or watch long broadcasts. From improving healthcare diagnostics to eliminating repetitive tasks, AI can make our lives less burdensome and more efficient. These benefits are often not counted in the raw GDP calculations, but should not be ignored.

One of the top reasons enterprise GenAI systems get stuck in the ideation phase is due to data privacy and security concerns. Organizations must ensure that no sensitive or personal data inappropriately feeds AI models or can be extracted from these systems, either maliciously or inadvertently. This requires securely connecting to hundreds of data systems, discovering and classifying sensitive data at scale, and redacting sensitive content on the fly before feeding AI models.

The more time we spend on social media and the more frequently we

click through to conduct commerce, the higher those platforms’ advertising and

other revenue streams become. At the basest level, AI is coded to serve the

goals of capitalism (institutional investors and the advertising customers) and

not the needs of the end users. The end result is that humans find themselves

in algorithmically-generated online “bubbles”. AI technologies, especially generative AI, are driving a paradigm shift in the oil and gas industry. By optimizing processes, enhancing safety, and delivering substantial cost savings, AI is setting a new standard for efficiency and sustainability.

Additionally, manual data entry introduces vulnerabilities through human error, creating more opportunities for security issues. With the Realtime API, media companies could offer real-time Q&A sessions that let audiences interact directly with ongoing events. This capability could transform the way live coverage is delivered, enabling users to get immediate answers to their questions while following news developments.

• “With 89% of African CEOs highlighting the impact of an aging workforce, it is critical that the younger talent pool is nurtured and developed to minimize the negative impact this could have on the sustainability of organizations.
• Even laws, when broken, are

  adjudicated with either economic or imprisonment outcomes.

• “Artificial Intelligence models have the potential to transform businesses and everyday life profoundly.
• These new technologies could bring a level of engagement that traditional methods struggle to match.
• As data flows to AI models, organizations risk losing established access entitlements.

Emerging AI governance tools offer a step toward visibility and control of what’s happening in a company’s AI applications. A significant chasm exists between most organizations’ current data infrastructure capabilities and those necessary to effectively support AI workloads. Boosting Yield with AI-Driven Process Adjustments

Refineries benefit immensely from AI models that analyze feedstock, market demand, and operational conditions to maximize the output of valuable products. These models suggest adjustments that optimize yields, increasing refinery margins and ensuring resource use aligns with market needs. The predictive capabilities of AI have proven indispensable, providing refiners with tools to anticipate changes and respond proactively. I spent a couple of days last week at the University of Oxford in the UK where I spoke at and attended the Oxford Generative AI Summit.

The

technology is rooted in what is best for the companies controlling the AI, not

for broader society. “Our strategic decision to allocate funds to AI investments is rooted in a deep understanding of the Kingdom’s growing ecosystem. By fostering innovation and supporting AI startups, we aim to accelerate the development of cutting-edge technologies that will drive economic growth, improve quality of life, and position Saudi Arabia as a global leader in Artificial Intelligence. This investment will not only incentivize local entrepreneurs but also support the localization of global talent, ultimately unlocking the immense potential of AI,” said Anas Algahtani, Acting Chief Executive Officer of Wa’ed Ventures. Securing Pipelines and Enhancing Transportation

Transportation and pipeline management are crucial elements of the oil and gas industry.