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How to detect AI deepfake videos

How to Detect AI Deepfake Videos

By: Dale Arasa – @inquirerdotnet INQUIRER.net / 08:32 AM September 09, 2024

The Philippines has been adapting to artificial intelligence by integrating its latest tools. However, it is essential for Filipinos to learn how to manage the risks associated with AI, such as the proliferation of AI deepfake videos.

For instance, Star Music, the agency representing the P-pop sensation BINI, has announced plans to take action against inappropriate deepfake clips of their members.

“AI deepfakes and their deeper impacts.”

How to Spot AI Deepfake Videos

According to digital news platform TechTarget and the Massachusetts Institute of Technology (MIT), AI deepfake videos often contain subtle artifacts or signs indicating they are artificially generated.

Learn to identify these signs to determine if a particular clip is authentic. Most high-quality deepfake manipulations involve facial transformations, so begin your assessment there:

  1. Watch the video closely: Focus on the face and observe if features like the cheeks and forehead appear older or younger compared to other details.
  2. Examine the eyes and shadows: AI deepfake videos may inaccurately replicate how objects behave in real life regarding shadows.
  3. Observe the glare: Is there excessive glare? Does it change as the individual moves? This could signal AI-generated content.
  4. Inspect facial hair: Evaluate whether mustaches, sideburns, or beards look real and consistent throughout the video.
  5. Check lip movements and blinking: Ensure they appear normal; anomalies may indicate an AI-generated fake.

Additionally, always verify the source of the video. If it originates from an unknown person or entity, exercise caution—this is often a warning sign of AI deepfake content.

“Watch enough deepfakes, and you will likely improve your detection skills.”

However, be mindful that as technology progresses, even experts can be easily deceived. Following these essential steps will equip you to evaluate shocking content critically before sharing it online. Such awareness promotes responsible online behavior among Filipinos, helping to curtail the spread of misinformation.

For more insights into online security, check out another article from Inquirer Tech.

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Topics: technology

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Elon Musk’s AI startup is said to discuss revenue sharing with Tesla (NASDAQ:TSLA)

Elon Musk’s AI Startup in Revenue-Sharing Talks with Tesla

On September 8, 2024, it was reported that Elon Musk’s artificial intelligence startup, xAI, is in discussions with Tesla, Inc. (TSLA) about entering a revenue-sharing agreement. This potential deal would see xAI provide technology and resources to Tesla in exchange for a share of the revenues generated by the electric car manufacturer.

According to The Wall Street Journal, the agreement would enhance the collaboration between Musk’s various companies. Tesla plans to utilize xAI’s AI models to improve its driver-assistance software known as Full Self-Driving. In return, a portion of the revenue from this initiative would be shared with xAI.

Additionally, xAI is set to assist in developing new features at Tesla, which could include a voice-activated assistant within Tesla’s vehicles and software for its humanoid robot, Optimus.

However, Musk publicly denied the report, stating that no licensing agreement with xAI is necessary. He emphasized that Tesla has gained valuable insights from xAI engineers that have aided in achieving unsupervised Full Self-Driving capabilities.

Revenue-Sharing Dynamics

The specifics of the revenue-sharing arrangement would likely depend on how much Tesla depends on xAI’s technology for its projects. Executives at xAI are reportedly considering a 50-50 split of the revenue derived from Tesla’s Full Self-Driving features.

A potential partnership would align with Musk’s approach of intertwining resources across his business empire. Nevertheless, some Tesla shareholders have raised concerns over these arrangements, alleging that diverting resources to xAI could adversely impact Tesla’s investors. Legal action concerning these claims is currently pending in the Delaware Court of Chancery.

“Tesla has learned a lot from discussions with engineers at xAI,” Elon Musk stated, reinforcing his dismissal of the revenue-sharing claims.

Related Insights on Tesla

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Self-learning AI generates NFL against the spread, over-under, money-line picks for each 2024 Week 1 game

SELF-LEARNING AI GENERATES NFL AGAINST THE SPREAD, OVER-UNDER, MONEY-LINE PICKS FOR EACH 2024 WEEK 1 GAME

SPORTSLINE AI REVEALS ITS NFL PREDICTIONS AND NFL BETTING PICKS FOR ALL 16 NFL GAMES IN WEEK 1

By CBS Sports Staff Sep 7, 2024 at 3:43 pm ET • 3 min read

After suffering an overtime loss to the Chiefs in Super Bowl 58, the 49ers will begin their season on Monday Night Football against the Jets. This final matchup of Week 1 features Aaron Rodgers returning from a torn Achilles, making it a possible preview of Super Bowl 59. Both teams boast strong rosters, with San Francisco being a 4.5-point home favorite according to the latest odds, despite a 9-11 record against the spread last season.

Meanwhile, the Lions, who were the NFC runners-up, will kick off their season on Sunday Night Football against the Los Angeles Rams, marking a rematch of last season’s NFC wild card battle. Detroit is favored by 3.5 points in the betting lines. As you prepare for your Week 1 NFL score predictions, you might wonder which teams to back and where oddsmakers might have erred. Before finalizing your picks, take a look at the NFL against the spread, over-under, and money line predictions powered by SportsLine AI.

Using cutting-edge artificial intelligence and machine learning techniques, the SportsLine Data Science team built these predictions. Each game’s predictions are created by analyzing historical data and evaluating the opponent’s defense strength, quantified by a score ranging from 0 to 100, known as the matchup score.

Once a prediction is made, an AI rating is assigned, taking into account the matchup score, the prediction itself, and the market odds. For instance, you might notice an A-rating on an over bet if a team is facing a weak defense, their prediction differs significantly from the spread, and favorable odds are offered.

Additionally, SportsLine AI represents the first fully automated predictive model at SportsLine, constantly updating with the latest available data to identify significant line discrepancies. Last season alone, SportsLine’s AI PickBot celebrated an impressive 1,674 successful 4.5 and 5-star prop picks, benefiting its followers significantly.

For Week 1, the AI PickBot analyzed NFL odds and made predictions for all 16 games. You can see the AI predictions for the Week 1 NFL schedule exclusively here.

TOP WEEK 1 NFL AI PICKS

After a thorough analysis of every Week 1 game, the AI PickBot predicts that the Broncos will cover as six-point underdogs against the Seahawks, a game that has received an A-rated pick. Last year, the Broncos ranked last in the NFL for points per game, but under Sean Payton’s guidance in 2023, they improved to 19th in scoring. Conversely, Seattle’s defense struggled significantly, allowing a high conversion rate on third downs.

The Broncos’ defense excelled in forcing turnovers, ranking 12th in the league with 26 takeaways and second in opponents’ third-down conversion rate. Given these dynamics, the AI PickBot foresees a closer game than the oddsmakers anticipate, predicting an average score of Seahawks 21.86, Broncos 20.34. Explore other Week 1 football predictions and picks at SportsLine.

HOW TO MAKE WEEK 1 NFL PICKS

Additionally, the AI PickBot has produced eight more A-rated picks for Week 1. Ensure you check the detailed analysis from the AI PickBot before placing any bets. You can access these insights exclusively at SportsLine.

Curious about who wins and covers each Week 1 NFL game? What A-rated picks should you target? Visit SportsLine now for the top NFL picks against the spread, over-under, and money line, all powered by the innovative SportsLine AI PickBot, which accurately produced 1,674 top-rated picks last season.

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The Rise Of Deepfakes Means CEOs Need To Rethink Trust

The Rise of Deepfakes: Rethinking Trust in Business

Artificial Intelligence is driving a seismic shift in how businesses operate. As companies adjust their strategies and roadmaps, CEOs must rethink the core fundamentals of business, especially the concept of trust.

Recent estimates reveal that in just two quarters, the share of social engineering attacks among all cyber security threats surged from 7% to 20%, according to Kroll’s latest report. A staggering **43%** of all successful cyber attacks stem from social engineering, suggesting that businesses should take this threat seriously.

Corporate leaders are particularly vulnerable due to their public visibility. Only a few years ago, malicious actors needed significant resources to imitate a corporate leader. Today, access to one of the estimated **100,000 AI models** capable of producing deepfakes has made this easier than ever. Much of the information needed is readily available online, thanks to social media and corporate PR efforts.

My colleague and I raised alarms about deepfakes back in 2020, yet we could not foresee the current scale at which they are exploited for social engineering attacks. A recent case involved a Hong Kong banker who joined a video conference filled entirely with deepfake participants, including the company’s CFO. This led to the transfer of over **$25 million** after following instructions.

Investing in Cybersecurity: Building Trust

Cybersecurity practices often draw inspiration from military strategies due to shared objectives—avoiding, containing, and addressing adversaries. The **red team/blue team** model is a prime example. Here, the blue team defends while the red team seeks to breach security.

As Reid Hoffman demonstrated with just two models, **11Labs** and **Hour One**, team red can execute sophisticated attacks with minimal resources. This places significant emphasis on whether team blue is adequately resourced.

Emily Mossburg, Global Cyber Leader at Deloitte, emphasized that “CEOs need to ensure their team blue is equipped to address the current threat landscape.” Cybersecurity teams alone won’t suffice; embedding defensive tools across the organization is essential.

The truth is that adversaries can simply switch targets if one employee starts to recognize a ruse. “AI is evolving in defense, but ultimately, it’s on every employee to make cybersecurity effective,” Mossburg added.

Investing in comprehensive cybersecurity training goes beyond merely reporting phishing emails—it’s essential. “We cannot eradicate risks, but we can choose the level of risk we’re willing to accept,” Tavakoli noted when discussing the CEO’s role in enhancing security resources.

Equipping Team Blue: Strategies for Improved Cyber Defense

Numerous companies are working to weave trust into digital environments. For example, **Wiz**, a cloud-security firm, is set to be acquired by Google for **$23 billion**, underlining the profitability of trust-centric cybersecurity solutions.

However, it’s crucial for leadership to recognize the limitations of relying on a singular approach. Regarding AI, although team blue can harness its capabilities, there is still a gap to close before surpassing team red.

“Integrating AI into cybersecurity necessitates a blend of IT and predictive capabilities that remain largely inaccessible to the general public,” Dave Maher, CTO of Intertrust, explained.

Moreover, simply outfitting team blue with cutting-edge AI tools doesn’t suffice. Establishing robust systems of trust requires a diverse arsenal of strategies, including returning to traditional methods while team blue finds its footing.

Many financial institutions are implementing step-up authentication for phone transactions, which is an effective but limited measure. “Detecting acoustic and phonetic artifacts that AI-generated communications leave behind requires deploying the right tools across all calls,” said **Rahul Sood**, CPO at Pindrop.

Given the imbalance—where attackers can rely on one or two tactics while teams blue must utilize an entire suite of strategies—it’s imperative to focus on extensive training and a variety of protective measures.

The Importance of Context in Cybersecurity

In the war on trust, context is invaluable. Even the most adept adversary cannot replicate the unique context of each employee’s role. For instance, knowing that your CFO never schedules calls on Fridays can help distinguish a genuine request from a deepfake attack.

Hed Kovetz, CEO of Silverfort, said, “Having broad context about your interactions is essential for establishing trust.” Organizations can create this context by instituting clear protocols and practices that remain invisible to outsiders yet serve as critical cues for employees.

Maintaining consistent communication styles and employing unique internal jargon can bolster trust. For example, future meetings could incorporate specific signs or signals known only to company members.

Above all, organizations should not complacently wait for attacks to transpire. Emphasizing context and maintaining a proactive stance can significantly enhance defenses against social engineering.

By promoting an awareness of trust-related issues and embedding them within corporate culture, businesses are better equipped to combat the deepfake menace.

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Deepfake video shows Tim Walz dancing in cowboy outfit

FACT CHECK: DEEPFAKE VIDEO SHOWS TIM WALZ DANCING IN COWBOY OUTFIT

The video has been digitally altered. The face of the dancer was changed to resemble Walz.

A September 5 Instagram video shows a man in a cowboy outfit and glasses dancing in an elevator lobby. The video is captioned, “This is Kamala’s VP Running Mate, Tim Waltz (sic).” Within a day, it garnered over 400 likes.

OUR RATING: ALTERED

Experts confirm that the video is digitally edited. The dancer’s face was manipulated to look like Minnesota Governor Tim Walz, who is the Democratic nominee for Vice President. However, the original footage does not feature Walz.

VIDEO INCLUDES INDICATORS OF DIGITAL MANIPULATION

Walter Scheirer, an engineering professor at the University of Notre Dame, highlighted that the video appears to be a “very obvious face swap using a deepfake-like algorithm.” He noted several discrepancies, including blurring effects and inconsistent lighting, which are characteristic of low-quality deepfakes. Importantly, the original video posted in February clearly shows a different dancer who does not wear glasses.

This isn’t the first time Walz’s likeness has been misused. Similar manipulated videos circulated in August, falsely presenting Walz dancing in a cowboy hat with money tucked into his belt, displaying analogs of digital manipulation.

The Instagram user who shared this video failed to provide any supporting evidence when contacted by USA TODAY.

OUR FACT-CHECK SOURCES:
– Walter Scheirer, September 6, Email exchange with USA TODAY
– @krumpmasterkrump, February 19, Instagram post
– USA TODAY, August 27, “No, Tim Walz isn’t the cowboy dancer in this video”

Thank you for supporting our journalism. You can subscribe to our print edition or e-newspaper [here](https://cm.usatoday.com/specialoffer?_ga=2.159964861.1095412655.1597937597-1319250638.1597937595).

USA TODAY is a verified signatory of the International Fact-Checking Network, demonstrating a commitment to nonpartisanship, fairness, and transparency. Our fact-checking efforts are supported by a grant from Meta.

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Dow Jones Fades After Jobs Report; Nvidia Sell-Off Picks Up Steam As Broadcom Plunges (Live Coverage)

Market Trend Overview

Stock Lists

Research Tools

Current Market Analysis

Today, sellers dominated the stock market, with technology stocks facing significant pressure. Following a brief recovery after Federal Reserve Governor Christopher Waller endorsed an interest rate cut, indices hit their session lows around midday.

Stock Movements

  • Nvidia (NVDA) dropped 4%, barely holding above the 100 level.
  • Broadcom (AVGO) fell 9% after reporting earnings, being one of the Nasdaq 100’s weakest performers.
  • The Nasdaq composite declined 2.5%, potentially heading towards a test of its 200-day moving average, with losers outpacing winners by nearly 3 to 1.

Job Market Insights

The non-farm payrolls rose by 142,000 in August, which is below the anticipated 160,000. The unemployment rate did decrease slightly to 4.2%.

Conclusion

With significant declines in major stocks and mixed economic signals, it’s crucial to stay informed through tools and resources such as IBD’s premium offerings and live analysis.

Special Offer

Try IBD Digital for 2 months at only $20 to access exclusive insights and stock lists!

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Council of Europe opens world’s first global AI treaty for signature

Council of Europe Opens World’s First Global AI Treaty for Signature

Mariam BahaaEldein Thabet | Mansoura U. Faculty of Law, EG | September 5, 2024

The Council of Europe has opened the world’s first legally binding global treaty on artificial intelligence (AI) for signature. This groundbreaking treaty was unveiled during a conference in Vilnius, Lithuania, and aims to establish a new international standard that ensures AI systems adhere to human rights, democratic values, and the rule of law.

Framework Convention on Artificial Intelligence

Officially titled the Framework Convention on Artificial Intelligence and Human Rights, Democracy, and the Rule of Law (CETS No. 225), this treaty represents a significant moment in global AI regulation. It has been signed by several nations, including the European Union, the UK, the US, and others. Adopted by the Council of Europe’s Committee of Ministers on May 17, 2024, this treaty creates a thorough legal framework that encompasses the entire lifecycle of AI systems—from their design and development to deployment and decommissioning.

A Comprehensive Approach to AI Regulation

This convention establishes the first legally binding global framework for AI, aligning with EU regulations, including the EU AI Act. Notably, the EU played an instrumental role in shaping this treaty, which reflects the principles outlined in the EU AI Act. Key components of the treaty include:

  • Human-Centric AI: Emphasizing alignment with human rights, democracy, and the rule of law.
  • Risk-Based Approach: Identifying and mitigating risks associated with AI.
  • Trustworthy AI Principles: Incorporating aspects such as transparency, robustness, safety, and data governance.
  • Transparency Obligations: Ensuring clarity in AI-generated content and interactions with AI systems.
  • Accountability Measures: Strengthening documentation, accountability, and remedies for AI-related issues.
  • Innovative Regulation: Supporting safe innovation through regulatory sandboxes.
  • Risk Management Duties: Enforcing responsibilities related to documentation and oversight.

The treaty will enter into force three months after five signatories, including at least three Council of Europe member states, ratify it. This ensures effective implementation while allowing ample time for broader adoption across nations.

Inclusive Contribution to the Treaty

Negotiated by the Council of Europe, the treaty saw contributions from 46 member states, the EU, and 11 non-member states, including Argentina, Australia, Canada, and more. Furthermore, representatives from the private sector, civil society, and academia participated as observers.

Significance and Future Implications

Marija Pejčinović Burić, the Secretary-General of the Council of Europe, emphasized the treaty’s importance by stating, “We must ensure that the rise of AI upholds our standards rather than undermining them.” She expressed hope that the treaty would garner many signatures and prompt rapid ratification.

Moreover, the treaty mandates that parties provide legal remedies for victims of AI-related human rights violations and implement procedural safeguards like notifying individuals when interacting with AI systems. Although it does not cover national security activities, it requires compliance with international law and democratic principles, especially regarding areas where AI could impact human rights, democracy, or the rule of law.

Historical Context

The first Continental Congress convened in Philadelphia on September 5, 1774, to protest the “Intolerable Acts” imposed by the British Parliament. Likewise, on September 5, 1798, France instituted a conscription law, mandating military drafts for young males, highlighting the evolution of legal frameworks in response to societal needs.

For further insights and updates, follow JURIST’s daily digest!

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FBI busts musician’s elaborate AI-powered $10M streaming-royalty heist

The Day the Music Lied —
FBI Busts Musician’s Elaborate AI-Powered $10M Streaming-Royalty Heist
FEDS SAY IT’S THE FIRST US CRIMINAL CASE INVOLVING ARTIFICIALLY INFLATED MUSIC STREAMING.
Benj Edwards – Sep 5, 2024 3:02 pm UTC

Trucks forming piano keys in front of warehouse - isometric projection

On Wednesday, federal prosecutors charged a North Carolina musician with defrauding streaming services of $10 million through an elaborate scheme involving AI, as reported by The New York Times. Michael Smith, 52, allegedly used AI to create hundreds of thousands of fake songs by nonexistent bands, then streamed them using bots to collect royalties from platforms like Spotify, Apple Music, and Amazon Music.

While the AI-generated element of this story is novel, Smith allegedly broke the law by establishing an elaborate fake listener scheme. The US Attorney for the Southern District of New York, Damian Williams, announced the charges, which include wire fraud and money laundering conspiracy. If convicted, Smith could face up to 20 years in prison for each charge.

Smith’s scheme, which prosecutors say ran for seven years, involved creating thousands of fake streaming accounts using purchased email addresses. He developed software to play his AI-generated music on repeat from various computers, mimicking individual listeners from different locations. In an industry where success is measured by digital listens, Smith’s fabricated catalog reportedly managed to rack up billions of streams.

To avoid detection, Smith spread his streaming activity across numerous fake songs, never playing a single track too many times. He generated unique names for the AI-created artists and songs, trying to blend in with the quirky names of legitimate musical acts. Smith used artist names like “Callous Post” and “Calorie Screams,” while their songs included titles such as “Zygotic Washstands” and “Zymotechnical.”

Initially, Smith uploaded his own original compositions to streaming platforms but found his small catalog failed to generate significant income. In an attempt to scale up, he briefly collaborated with other musicians, reportedly offering to play their songs for royalties, though these efforts failed. This led Smith to pivot to AI-generated music in 2018 when he partnered with an as-yet-unnamed AI music company CEO and a music promoter to create a large library of computer-generated songs. The district attorney announcement did not specify precisely what method Smith used to generate the songs.

The scheme proved lucrative. In a 2017 email to himself, Smith calculated that he could stream his songs 661,440 times daily, potentially earning $3,307.20 per day and up to $1.2 million annually. By June 2019, Smith was earning about $110,000 monthly, sharing a portion with his co-conspirators. The NYT reports that in an email earlier this year, he boasted of reaching 4 billion streams and $12 million in royalties since 2019.

When confronted by a music distribution company about “multiple reports of streaming abuse” in 2018, Smith acted shocked and strongly denied any wrongdoing, insisting there was “absolutely no fraud going on whatsoever.”

Benj Edwards is Ars Technica’s Senior AI Reporter and founder of the site’s dedicated AI beat in 2022. He’s also a widely cited tech historian. In his free time, he writes and records music, collects vintage computers, and enjoys nature. He lives in Raleigh, NC.

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Generative AI backlash hits annual writing event, prompting resignations

As the AI World Turns —
Generative AI Backlash Hits Annual Writing Event, Prompting Resignations
NaNoWriMo Refuses to Condemn AI as Accessibility Tool, Faces Criticism from Writers.
By Benj Edwards – September 4, 2024

Over the weekend, the nonprofit National Novel Writing Month organization (NaNoWriMo) published an FAQ outlining its position on AI, calling the outright rejection of AI writing technology “classist” and “ableist.” This statement triggered significant backlash online, leading to the resignation of four board members and prompting a sponsor to withdraw support.

NaNoWriMo, famous for its annual challenge where participants write a 50,000-word manuscript in November, argued that condemning AI would overlook issues of class and ability. The organization suggested that the technology could assist those who may otherwise need to hire human writing assistants or have different cognitive abilities.

Writers React
After news of the FAQ spread, many writers on social media expressed their discontent with NaNoWriMo’s stance. Generative AI models are often trained on vast amounts of existing text, including copyrighted works, without proper attribution or compensation to the original authors. Critics argue this raises serious ethical concerns regarding the use of such tools in creative writing competitions.

“Generative AI empowers not the artist, not the writer, but the tech industry. It steals content to remake content,” stated Chuck Wendig, author of Star Wars: Aftermath, in a post about NaNoWriMo on his blog.

Daniel José Older, a lead story architect for Star Wars: The High Republic and one of the resigning board members, publicly stepped down, stating, “Hello @NaNoWriMo, this is me DJO officially stepping down from your Writers Board and urging every writer I know to do the same.”

NaNoWriMo’s choice of words like “classist” and “ableist” to justify the potential use of generative AI struck a nerve with many opponents of the technology, some of whom are disabled themselves. One X user expressed their frustration, saying, “Other people’s work is NOT accessibility.”

This isn’t NaNoWriMo’s first encounter with controversy. Last year, the organization announced it would accept AI-assisted submissions but emphasized that using AI for an entire novel would defeat the challenge’s purpose.

NaNoWriMo Doubles Down
In response to the backlash, NaNoWriMo updated its FAQ to address concerns regarding AI’s impact on the writing industry and to mention “bad actors in the AI space who are doing harm to writers.”

“We recognize that although we find the categorical condemnation of AI problematic, we are troubled by situational abuse of AI that clearly conflicts with our values,” they stated. The organization acknowledged the complexity of AI technology and emphasized its commitment to maintaining an inclusive stance.

In recent years, NaNoWriMo has received messages from disabled individuals who use generative AI tools, and has conducted interviews with artists who rely on these technologies for creativity. Ultimately, the organization articulated that it respects writers who believe that AI tools can be beneficial.

“We absolutely do not condemn AI,” NaNoWriMo declared in their FAQ, “and we respect writers who believe these tools are right for them. We acknowledge the diversity of opinions within our community and the autonomy it provides.”

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AI innovation: Bridging the expectations gap with Avaya

AI INNOVATION: BRIDGING THE EXPECTATIONS GAP WITH AVAYA
BrandPost By Omar Javaid, Chief Product Officer, Avaya
Sep 04, 2024 – 5 mins

By leveraging AI tools like Avaya ADA and Avaya OneCloud CCaaS, businesses can enhance efficiency, personalize services, and improve customer satisfaction while maintaining operational stability.

AI image handshake
Credit: iStock

Customers increasingly demand excellent care and service, presenting both opportunities and challenges for businesses. Maximize value for your customers and employees through enhanced innovation to drive growth. However, implementing too many changes too quickly can risk disrupting IT productivity, employee morale, customer loyalty, and overall profitability. So, how do businesses maintain this delicate balance?

Avaya’s innovation without disruption approach serves as a guide for companies facing rapid transformation. This philosophy addresses today’s pressing needs while laying the groundwork for sustainable growth and continual improvement—without compromising resilience or stability.

Many of our customers benefit by adopting cutting-edge Artificial Intelligence (AI) solutions that enhance both customer and employee experiences without the common productivity dips seen during tech rollouts. Below, I highlight some key ways AI is already making a difference for businesses and their customers.

ADDRESSING THE EXPECTATION GAP

Metrigy reports that approximately half of all customers still resolve product and service issues via phone, while the other half prefers self-service options. This discrepancy showcases the diverse demands organizations face—supported by a wide variety of AI solutions. These range from automation tools that optimize agent workflows to conversational intelligence and AI virtual agents. However, these solutions necessitate the cloud, presenting a significant barrier for traditional enterprises with substantial investments in on-premises solutions.

Avaya’s vision of “Innovation Without Disruption” assists established enterprises in avoiding common cloud migration traps by emphasizing seamless integration and continuous improvement. This enables businesses to immediately realize the benefits of AI, transforming the challenge of heightened expectations into valuable opportunities for demonstrating tangible outcomes and returns.

Consider Avaya Ada and Avaya OneCloud CCaaS. These AI-driven solutions offer intelligent automation and robust analytics capabilities, empowering companies to provide personalized customer experiences while optimizing employee workflows. Designed to complement existing systems, these tools facilitate gradual integration that reduces disruption and enhances efficiency.

LEVERAGING AI FOR ENHANCED CUSTOMER EXPERIENCES

AI revolutionizes customer service, enabling businesses to create interactions that are not only efficient but also personalized and responsive. Imagine a service scenario where AI instantaneously handles inquiries, anticipates customer needs, and delivers tailored suggestions. Research consistently indicates that this level of service dramatically increases customer satisfaction while decreasing customer effort.

Avaya’s application of generative AI in customer service exemplifies this. By utilizing natural language processing (NLP) and machine learning (ML) algorithms, Avaya’s solutions can interpret and respond to customer inquiries in real-time, offering accurate and contextually relevant answers. This enhances the customer experience while alleviating agents’ workload, allowing them to address more complex and meaningful matters.

OPTIMIZING EMPLOYEE WORKFLOWS WITH AI

The advantages of AI extend beyond customer service. It boosts employee satisfaction and productivity by automating repetitive tasks and providing intelligent insights. A recent study on technology in the workplace reports that 59% of employees who use AI express greater job satisfaction.

Avaya’s AI-powered tools provide advanced collaboration and productivity features that significantly influence agent retention and satisfaction. These solutions utilize AI to streamline communication, automate routine tasks, and furnish data-driven insights that assist employees in making informed decisions. The result is a more engaged, productive workforce poised to excel in today’s tech-centric environment.

Integrating AI within business processes presents challenges, but Avaya’s innovative strategy enables those challenges to transform into opportunities for considerable growth. By concentrating on non-disruptive integration and ongoing enhancement, Avaya empowers organizations to effectively leverage AI – connecting the desires of customers and employees seamlessly.

THE PATH FORWARD

The rapid shift in customer and employee expectations is a daunting challenge. With Avaya’s innovative approach to AI integration, this challenge becomes an exciting opportunity for growth. By leveraging AI to enhance customer experiences and streamline employee workflows, enterprises can not only meet but exceed expectations, avoiding the usual disruptions haunting new technology implementations. Avaya’s firm commitment to innovation without disruption positions organizations to confidently embrace the future and traverse the road to success.

As businesses navigate the intricacies of digital transformation, the seamless integration of AI becomes increasingly vital. Avaya’s solutions promise to not only meet heightened expectations from customers and employees but also foster a more efficient, innovative, and resilient future.

Learn more about the AI capabilities that Avaya supports seamlessly. Learn more here.