Apple's next press event happens on Monday, March 21 at the company's campus in Cupertino, California. We've already talked about what to expect, in our PPT but to recap: Apple is expected to announce a new 4-inch iPhone that combines the size of the iPhone 5S with features from the iPhone 6 and 6S. It will also supposedly be upgrading the 9.7-inch iPad, giving it updated internals, a Smart Connector, and Apple Pencil support imported from the iPad Pro. The Apple Watch may get some love in the form of new band colors and combinations, but rumors say not to expect a full hardware refresh just yet.
This document provides a summary of key strategies for successfully scaling artificial intelligence (AI) within an organization. It discusses the importance of having a clear business strategy that AI supports, focusing AI projects on delivering tangible business value. It also emphasizes having the right data strategy to power AI initiatives and taking a portfolio view of AI projects that balances experimentation with alignment to strategic goals. The document recommends challenging assumptions about how work gets done and preparing employees for how AI will change and augment their roles. It argues that organizations must think holistically about scaling AI to realize its full potential for driving business outcomes.
This document summarizes Mint, a personal finance management application. It describes Mint's features for tracking transactions, assets, debts, and goals. It outlines Mint's business model of acquiring users through partnerships and generating revenue from referrals when users switch financial products. The document presents Mint's financial projections, identifying Google, Microsoft, and Yahoo as potential acquirers. It discusses Mint's risks and competitive advantages to mitigate new entrants.
Inilah pitch deck dari raksasa media digital, Buzzfeed. Bagi kamu yang memiliki model bisnis yang serupa dengan BuzzFeed, mungkin kamu dapat terinspirasi dari pitch deck ini.
UX for AI-Powered Products: Balancing Magic and User Trust by Kateryna Korovkina — Design Manager at ELEKS In today's world, AI is revolutionising our lives, enhancing decision-making processes, automating tasks, and expanding our capabilities. But with these advancements come concerns, especially regarding the impact of AI on decision-making and user trust. The topic delves into the intricacies of this issue, addressing the challenge of maintaining transparency and control while ensuring a human-centred approach to AI. You can also explore avoiding the "black box" problem, where users are left in the dark about AI's decision-making process. At the same time, the topic is about not overwhelming users with excessive explanations that can hinder their experience.
This document discusses how digital technologies are transforming the media and entertainment industry. It outlines three phases for companies to undergo a digital transformation: 1) Tune Up - transform supply chains and collect richer data, 2) Tune In - put consumers at the heart of growth strategies and invest in technologies, 3) Take Off - design and scale new content, services, and partnerships to engage future consumers. The roles of media companies are evolving from content creators and distributors to intelligent enterprises that reinvent production and monetization using data and platforms.
The document discusses how generative AI can be used to scale content operations by reducing the time it takes to generate content. It explains that generative AI learns from natural language models and can generate new text or ideas based on prompts provided by users. While generative AI has benefits like speeding up content creation and ideation, it also has limitations such as not being able to conduct original research or ensure quality. The document provides examples of how generative AI can be used for tasks like generating ideas, simplifying complex text, creating visuals, and more. It also discusses challenges like bias in AI models and the low risk of plagiarism.
In this event we will cover: - What is Generative AI and how it is being for future of work. - Best practices for developing and deploying generative AI based models in productions. - Future of Generative AI, how generative AI is expected to evolve in the coming years.
Digital Asset Management initiatives can provide utilities several benefits: 1) They can decrease capital and operational costs by 10-20% through more predictable asset insights that reduce maintenance costs and allow for more targeted capital investments. 2) They provide greater transparency of asset health and risk, improving asset lifetime. 3) They optimize grid capacity by reducing asset down-time.
The document summarizes key findings from an Accenture analysis of how demand for different energy sources may change between now and 2035. It identifies five portfolio plays that could help oil and gas companies succeed in the changing energy landscape: 1) Growing natural gas demand, especially in Asia. 2) Producing oil at the lowest possible cost. 3) Developing carbon capture and industrial efficiency technologies. 4) Producing "blue" hydrogen from natural gas with carbon capture. 5) Winning in biofuels and low-carbon products like bio-lubricants. The analysis projects continued overall energy demand growth but significant changes in the fuel mix across regions and sectors.
The document discusses new advances in technology that provide opportunities and challenges for the technology, media, and telecommunications industries. It covers topics like streaming services growing rapidly among millennials, who spend more time streaming than watching live TV. Younger consumers also pay more attention to digital ads than TV ads. New technologies like virtual reality and advances in connectivity like 5G networks and small cells are discussed in the context of their impacts on these industries. Polls are included to gather readers' views on topics like media consumption habits and interest in 5G networks.
The Accenture Cloud Platform is a multi-cloud management platform that enables organizations to manage all of their enterprise cloud resources—public and private—and automate and accelerate solution delivery.
Whole-brain leadership prepares C-suites for the digital challenges ahead, ensuring seamless growth and high-value problem solving capabilities.