News/Strategy
AI Hype Fades, But Long-Term Promise Remains Strong
Generative AI's journey to maturity is facing turbulence, with skepticism growing about its immediate utility and economic value, particularly concerning large language models. This skepticism echoes historical doubts about other transformative technologies like the internet, suggesting a familiar pattern in the adoption of revolutionary innovations. Current state of generative AI: Generative AI finds itself in a phase of heightened scrutiny and reevaluation as initial excitement gives way to practical challenges and tempered expectations. Recent reports and surveys have highlighted significant hurdles in AI productivity and implementation, dampening the initial euphoria surrounding the technology. Gartner, a leading research and advisory company,...
read Aug 3, 2024The Keys to Successful AI Implementation
The rapid evolution of generative AI is reshaping industries and challenging our traditional understanding of technological advancement. As we move from the initial excitement of generative AI's capabilities to the complex realities of its implementation, it's crucial to understand the challenges and opportunities that lie ahead. The current state of generative AI: We are in the early stages of generative AI development, characterized by impressive demonstrations but also significant limitations: The technology has shown potential to revolutionize various sectors, including healthcare, finance, transportation, manufacturing, media, retail, and energy. Unlike previous technological advancements that primarily automated tasks and communication, generative AI...
read Aug 3, 2024How Online Retailer BrandAlley Used AI to Boost Sales
BrandAlley, a flash-sale retailer, has harnessed the power of AI to boost customer advocacy and fuel rapid growth, leading to a 25% increase in repeat purchases and a 4.6% surge in referrals. Capitalizing on customer loyalty in a challenging market: BrandAlley operates in the highly competitive $387 billion luxury brand goods market, where consumers are often hesitant to splurge on high-end labels, especially during tough economic times: The company helps its nine million members acquire coveted luxury brands at discounts of up to 90% off the recommended retail price. Recognizing the value of customer advocacy, BrandAlley sought to identify and...
read Aug 1, 2024Apple Intelligence vs Google Gemini: Which Will Make Your Phone Smarter?
The rise of AI assistants from Apple and Google is transforming the smartphone landscape, with implications for user experience, privacy, and the future of mobile computing. Apple's holistic approach to AI integration: Apple Intelligence stands out by seamlessly weaving AI capabilities across its ecosystem, making the technology feel invisible and intuitive to users: Rather than confining it to a single app or function, Apple has integrated AI system-wide, enabling Siri to coordinate actions across apps and access contextual information from the user's screen. This holistic approach allows for more personalized and efficient interactions, such as asking Siri to send photos...
read Aug 1, 2024Why CIOs Are Considering Small Language Models
The integration of generative AI in enterprise products is prompting CIOs to carefully evaluate the technology's potential and risks, with a focus on sustainability, governance, and building internal AI expertise. Balancing technological excitement and commercial propositions: CIOs are studying generative AI to stay current while maintaining a pragmatic approach: The rapid advancements in AI, such as GPT-4 passing the Turing test and the availability of AI assistants like Microsoft Copilot and Gemini Advanced, are driving CIOs to closely monitor the technology. However, CIOs are cautious about adopting generative AI without proper considerations, recognizing the risks of overestimating its capabilities and...
read Aug 1, 2024MIT Survey Shows Crucial Connection Between Cloud Investment and AI Strategy
Key Takeaways: Generative AI is already transforming business operations and boosting bottom lines, but realizing its full potential requires significant investment in cloud infrastructure and strategy: Early AI investments are yielding impressive results in areas such as knowledge management, search, software development, and customer service across various industries. The cloud has evolved beyond storage and cost savings to become a crucial driver of innovation, transformation, and disruption, especially when combined with AI. Most companies are still experimenting and preparing their cloud infrastructure for AI, with many planning additional investments to accelerate progress. Cloud as an AI Enabler: The cloud plays...
read Jul 31, 2024How Good Data Practices Drive Productivity for Dow
Dow is leveraging generative AI to dramatically improve productivity across its global operations by building a data literate culture and strong technical foundations. Driving value with gen AI: Dow is implementing gen AI tools like Microsoft 365 Copilot and seeing significant early productivity gains in key areas: Over half of pilot users reported saving 1-2 hours per day with Copilot Gen AI is being used to enhance content development, data analysis, patent research, and document search AI has revolutionized demand forecasting and supply network planning in Dow's supply chain Building on AI foundations: Dow's ability to rapidly adopt and scale...
read Jul 31, 2024Model Complexity and High Costs Remain Barrier to Enterprise AI Adoption
The rapid growth of generative AI is transforming the enterprise landscape, but CEOs must navigate cost, complexity, and optimization challenges to harness its full potential. A new IBM report, based on a survey of U.S. executives, provides insights into the current state of enterprise AI adoption and offers guidance for informed decision-making. Key Takeaways: Specialization and diversity are crucial in enterprise AI deployment; The report emphasizes the importance of task-specific model selection, debunking the myth of a universal AI model: Organizations currently use an average of 11 different AI models and expect a 50% increase within three years, highlighting the...
read Jul 31, 2024Taco Bell is the Latest Fast Food Chain to Offer Voice AI at the Drive-Thru
Taco Bell is expanding its use of AI technology to handle drive-thru orders in the US, with the goal of improving efficiency and profitability. AI-powered drive-thru ordering: Yum! Brands, Taco Bell's parent company, has been testing Voice AI technology at over 100 Taco Bell drive-thru locations in the US for around two years. The company plans to expand the technology to "hundreds" of Taco Bell stores by the end of the year. Voice AI is also being introduced to five KFC restaurants in Australia, another Yum! Brands subsidiary. Potential benefits of AI in fast food: Yum! Brands is promoting the...
read Jul 31, 2024How AI is Accelerating Professional Soccer
Artificial intelligence is transforming the world of soccer, from tactical planning to player performance and fan engagement, ushering in a new era of innovation and excellence in the sport. AI's impact on tactical planning and player performance: The integration of AI in soccer is revolutionizing the way teams approach the game and manage their players: Top European clubs like Liverpool and Barcelona are using AI to analyze vast amounts of data, helping coaches understand opponents' play styles, strengths, and weaknesses, enabling them to devise more effective tactics. MLS teams such as LA Galaxy and Atlanta United leverage AI for detailed...
read Jul 30, 20245 Popular Myths About Generative AI
The rapid rise of generative AI has led to widespread hype, confusion, and fear, with many misunderstandings about its true capabilities and implications. Myth 1: Generative AI is intelligent; While generative AI can mimic certain aspects of natural intelligence, such as language processing and creation, it lacks the full range of human cognitive abilities: Generative AI's "thought processes" are based on probability rules learned during training, making them far more limited and less sophisticated than human intelligence. It is called "artificial" intelligence for a reason, as it can perform impressive tasks but is still fundamentally an algorithm. Myth 2: Generative...
read Jul 29, 2024Mosaic’s $300M Digital Overhaul is Case Study in AI Business Transformation
Mosaic's global digital transformation unifies businesses and unlocks data power: The Mosaic Company has completed a $300 million digital transformation to align its crop nutrition and fertilizer businesses across 40 countries, creating a common cloud infrastructure and global processes that will enable the company to capitalize on data and AI. Technology overhaul brings global alignment: Key components of Mosaic's transformation include: Migrating to Microsoft Azure and replacing nearly every business process Implementing SAP HANA, Salesforce, and O9's digital supply chain system Building an Azure-based data lake, the Global Mosaic Information Center, to provide worldwide data visibility to its 13,000 employees...
read Jul 28, 2024How to Navigate The Complex Software Stack When Building AI Apps
The rapid development of AI technology is transforming the software stack, with new tools and frameworks emerging to help developers navigate the complexities of building AI applications. This article explores the concept of the AI stack and the key components needed to create intelligent software solutions. Defining the AI stack: The AI stack consists of multiple layers, each playing a crucial role in the development and deployment of AI applications: The foundation of the AI stack includes data sources, databases (particularly vector databases that enable AI-friendly cross-referencing), integration tools, and data analysis capabilities. The model layer sits above the infrastructure...
read Jul 27, 2024Bridging Generational Divides and The Key to Successful Generative AI Adoption in Organizations
Unifying Gen X, Y, Z, and Boomers is the key to successful generative AI adoption in organizations, which requires combining the expertise of AI-native talent with the practical experience of IT veterans. Bridging the generational gap: Effective collaboration between AI experts and business technologists across different generations is crucial for driving positive outcomes from generative AI initiatives: IT veterans possess deep contextual knowledge about the business and legacy systems, which is essential for integrating generative AI into existing products and workflows while maintaining the company's forward momentum. AI-native talent brings proficiency in working with AI tools and the necessary data...
read Jul 26, 2024How AI Assistants Threaten to Disrupt Aggregator Platforms
The tech industry is on the cusp of a significant shift as AI-driven personal assistants like Siri threaten to disrupt the dominance of aggregator platforms such as Amazon, booking.com, and Uber. The rise of aggregators: Over the past decade, aggregator platforms have come to dominate various sectors by providing the most convenient access to services and maintaining a direct relationship with users: Amazon has become the go-to platform for product searches and purchases, with half of all users starting their product searches directly on the site. Aggregators in other sectors, such as booking.com for holidays, Netflix for entertainment, and Uber...
read Jul 26, 2024How Microsoft is Making Power Users out of Some of its Biggest Skeptics
Microsoft is turning AI skeptics into power users by actively integrating AI into the workplace and leveraging employee enthusiasm to drive business value. Adding critical new capabilities to Copilot: In response to customer feedback, Microsoft has enhanced its Copilot AI tool with several new features: Workplace-specific prompts, function-specific prompts, and the ability to share and reuse prompts Auto-complete and rewrite features to assist in the prompt-writing process Scheduling prompts to run at specific times Measuring the impact of generative AI: Microsoft has shifted its approach to quantifying the impact of AI in the workplace: Initial focus was on time savings...
read Jul 22, 2024Opinion: Business Leaders Are Still Unprepared for AI
The AI revolution is underway, but many business leaders are not fully prepared for the transformative changes it will bring across industries, potentially leading to the rise of new AI-native titans that could unseat today's giants. The current state of AI adoption in business: Many companies are still in the early stages of integrating AI, often simply adding chatbots or natural language interfaces to existing products and services, rather than fundamentally rethinking their business models: Tech giants like Google and Amazon have developed chatbots and integrated them into their services, but they have not yet leveraged AI to radically shift...
read Jul 22, 2024How to Achieve Product-Market Fit with Your AI Strategy
The AI boom appears to be faltering as organizations struggle to turn AI investments into reliable revenue streams, enterprises find generative AI harder to deploy than anticipated, AI startups are overvalued, and consumer interest wanes. Refocusing on product-market fit: Before rushing to rebuild their organizations around AI, leaders should ensure they are using the right tools to meet the actual demands they are trying to address: The rush to apply AI to every conceivable problem leads to many products that are only marginally useful or even destructive, as seen with examples like government chatbots giving incorrect advice and tax preparation...
read Jul 18, 2024How Overcoming Paralysis When Adopting AI Begins with Good Data Practices
The global AI revolution is charging ahead, but many organizations feel overwhelmed and paralyzed about how to best capitalize on the technology's potential. Addressing data challenges is critical: Every AI conversation inevitably leads to a discussion about data readiness, as AI relies on high-quality, accessible data to deliver value: Organizations must first assess where their required data lives, which is often siloed across various on-premises, cloud, edge, and individual devices. Establishing strong data governance and quality practices is essential before embarking on the data discovery process to ensure data is clean and usable. Focusing on a specific data set in...
read Jul 18, 2024AI Can Enhance Meetings, But Challenges Remain in Implementation and Reliability
AI has the potential to transform work meetings by making them more productive and reducing frustrations, but challenges remain in ensuring the technology is reliable and doesn't introduce new sources of tension between colleagues. Key takeaways: Jaime Teevan, chief scientist at Microsoft, believes AI is on the verge of transforming work meetings in significant ways: AI can help generate ideas, reflect on discussions, and make meetings more efficient by assisting with tasks like transcription and summarization. Major video meeting providers like Zoom, Microsoft Teams, and Google Meet are already incorporating AI-powered assistants with rapidly expanding capabilities. The promise of AI...
read Jul 18, 2024Opinion: Billions of People Must Learn to Become AI Literate Or Risk Being Left Out of the New Economy
In a recent article, MIT Senior Fellow and Investor, John Werner, argues why billions of people must learn AI literacy or risk being left behind in the new automation economy. AI literacy is critical as AI becomes the new immersive technology; those who understand and can use AI effectively will gain exceptional power, while others risk being left behind. Defining AI literacy: Unlike traditional literacy, which focuses on reading and writing, AI literacy involves viewing AI technologies critically, understanding their context, and making informed decisions about their use: It requires the ability to discern the benefits and challenges of AI...
read Jul 17, 2024How Overcoming Bad Data and Digital Divides In Organizations Will Increase AI Adoption
The vast majority of AI proof-of-concept projects fail to reach production due to digital boundaries, digital employees, and bad data, according to Capgemini research. Addressing these challenges requires a fundamental rethinking of how businesses approach AI adoption. Data quality is a major obstacle: Many organizations have become accustomed to working with subpar data, which poses significant risks as AI increasingly drives business decisions: By 2030, AI is expected to make 50% of business decisions, particularly in autonomous supply chain applications, making poor data quality unacceptable from a risk perspective. Digital employees cannot wait for cleaned-up data to make operational decisions,...
read Jul 17, 2024How SAP Is Using Gen AI To Transform Business Across Its Portfolio
SAP Labs is harnessing the power of generative AI to enhance business processes across industries, from e-sports to guitar manufacturing, with the hopes of driving unprecedented innovation and efficiency. Scaling AI across the enterprise: SAP Labs is focused on quickly integrating generative AI across its broad software portfolio, with insights from one customer's AI adoption being directly transferable to others: Over 24,000 SAP customers are currently using the company's AI solutions, with AI integrated into more than 10,000 published and 5,000 scenario-based interfaces and messages. SAP's AI in Concur Invoice Management automated the processing of 40 million invoices in 2022,...
read Jul 16, 2024Intuit Is Using GenAI to Offer Personalization Across Its Products, And Drive Revenue
Intuit is leveraging generative AI to offer personalization across its suite of financial products, driving strong revenue growth and enhancing customer experiences. Intuit's gen AI strategy: Intuit is heavily relying on generative AI to personalize customer experiences, automate routine tasks, and provide actionable insights to help users achieve their financial goals: The company has over 100 million customers worldwide using its TurboTax, Mint, Credit Karma, QuickBooks and Mailchimp products. Intuit's AI-driven platform strategy has resulted in double-digit growth in total revenue and operating income, with Q3 fiscal 2024 total revenue surging 12% year-over-year to $6.7 billion. Transforming personalization with gen...
read