Over half of participants using AI at work experienced a 30% increase in productivity, and there are beginner-friendly ways to integrate generative AI into existing tools such as GrammarlyGo, Slack apps like DailyBot and Felix, and Canva's AI-powered design tools.
Cloud computing vendor ServiceNow is taking a unique approach to AI by developing generative AI models tailored to address specific enterprise problems, focusing on selling productivity rather than language models directly. They have introduced case summarization and text-to-code capabilities powered by their generative AI models, while also partnering with Nvidia and Accenture to help enterprises develop their own generative AI capabilities. ServiceNow's strategy addresses concerns about data governance and aims to provide customized solutions for customers. However, cost remains a challenge for enterprises considering the adoption of generative AI models.
Google has developed a prototype AI-powered research tool called NotebookLM, which allows users to interact with and create new things from their own notes, and could potentially be integrated into Google Docs or Drive in the future. The tool generates source guides, provides answers to questions based on the user's provided data, and offers citations for its responses. While still in the prototype phase, NotebookLM has the potential to become a powerful and personalized chatbot.
Generative AI tools are revolutionizing the creator economy by speeding up work, automating routine tasks, enabling efficient research, facilitating language translation, and teaching creators new skills.
Baidu has made its generative AI product and large language model, ERNIE Bot, publicly available, allowing users to fully experience its abilities, such as understanding, generation, reasoning, and memory, and obtain human feedback to improve the user experience.
AI-powered tools like Claude AI, PinwheelGPT, Reimagine, Tome, Whisper Memos, and Eleven Labs are providing helpful and creative functionalities such as explaining and summarizing text, providing kid-friendly chats, animating old photos, creating compelling visuals, transcribing voice memos with accuracy, and generating AI voices.
General Motors is expanding its collaboration with Google to explore the future use of advanced generative AI, aiming to revolutionize the customer experience and deliver new features and services.
Google and UCLA have developed a program called AVIS that enables large language models to select specific tools and take multiple steps to seek answers, resulting in a primitive form of planning and reasoning. AVIS achieved higher accuracy than existing methods on visual question answering benchmarks, indicating the increasing generality of machine learning AI.
Microsoft and Datadog are well positioned to benefit from the fast-growing demand for generative artificial intelligence (AI) software, with Microsoft's exclusive partnership with OpenAI and access to the GPT models on Azure and Datadog's leadership in observability software verticals and recent innovations in generative AI.
Generative artificial intelligence, particularly large language models, has the potential to revolutionize various industries and add trillions of dollars of value to the global economy, according to experts, as Chinese companies invest in developing their own AI models and promoting their commercial use.
Lily AI, an artificial intelligence-powered platform, uses machine learning and human curation to match online shoppers to merchandise based on colloquial search terms, resulting in increased purchases and revenue for retailers like Bloomingdale's.
IBM has introduced new generative AI models and capabilities on its Watsonx data science platform, including the Granite series models, which are large language models capable of summarizing, analyzing, and generating text, and Tuning Studio, a tool that allows users to tailor generative AI models to their data. IBM is also launching new generative AI capabilities in Watsonx.data and embarking on the technical preview for Watsonx.governance, aiming to support clients through the entire AI lifecycle and scale AI in a secure and trustworthy way.
McKinsey and Salesforce are collaborating to accelerate the adoption of generative AI in sales, marketing, commerce, and service, aiming to improve customer experiences, increase sales productivity, personalize digital marketing campaigns, and reduce call resolution time.
Generative AI tools like Bing Chat, Quizlet, ChatPDF, Duolingo, and Socratic have the potential to greatly enhance student learning by providing assistance with tasks such as research, studying, reading PDFs, learning new languages, and answering questions in a conversational and educational manner.
The rise of generative AI is accelerating the adoption of artificial intelligence in enterprises, prompting CXOs to consider building systems of intelligence that complement existing systems of record and engagement. These systems leverage data, analytics, and AI technologies to generate insights, make informed decisions, and drive intelligent actions within organizations, ultimately improving operational efficiency, enhancing customer experiences, and driving innovation.
Generative AI is being explored for augmenting infrastructure as code tools, with developers considering using AI models to analyze IT through logfiles and potentially recommend infrastructure recipes needed to execute code. However, building complex AI tools like interactive tutors is harder and more expensive, and securing funding for big AI investments can be challenging.
Artificial intelligence can greatly benefit entrepreneurs by allowing them to do more in less time, make a bigger impact with less effort, and save costs, and there are 20 AI tools that can help entrepreneurs in various aspects of their business, including content generation, image creation, automation, note-taking, scheduling, email management, social media scheduling, grammar checking, presentation creation, news aggregation, chatbot testing, research, information discovery, and data organization.
Generative AI can help small businesses manage their social media presence, personalize customer service, streamline content creation, identify growth opportunities, optimize scheduling and operations, enhance decision-making, revolutionize inventory management, transform supply chain management, refine employee recruitment, accelerate design processes, strengthen data security, and introduce predictive maintenance systems, ultimately leading to increased productivity, cost savings, and overall growth.
Generative artificial intelligence, such as ChatGPT, is increasingly being used by students and professors in education, with some finding it helpful for tasks like outlining papers, while others are concerned about the potential for cheating and the quality of AI-generated responses.
AI tools from OpenAI, Microsoft, and Google are being integrated into productivity platforms like Microsoft Teams and Google Workspace, offering a wide range of AI-powered features for tasks such as text generation, image generation, and data analysis, although concerns remain regarding accuracy and cost-effectiveness.
As generative AI continues to gain attention and interest, business leaders must also focus on other areas of artificial intelligence, machine learning, and automation to effectively lead and adapt to new challenges and opportunities.
Generative AI is set to revolutionize game development, allowing developers like King to create more levels and content for games like Candy Crush, freeing up artists and designers to focus on their creative skills.
Mustafa Suleyman, co-founder of Google DeepMind and CEO of Inflection AI, believes that interactive AI is the next phase, surpassing generative AI, and that it is a profound moment in the history of technology.
Morgan Stanley has launched its generative AI assistant, based on OpenAI's GPT-4, for all financial advisors, aiming to revolutionize client interactions and increase efficiency.
