Supercharge brand content with the Typeface AI app for Microsoft Teams
The new Typeface app for Microsoft Teams uses generative AI to help enterprises scale their marketing efforts and produce personalized content at a faster rate.
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- Social media creators are exploring the use of generative artificial intelligence (AI) to enhance their personal brands and streamline their work.
- Giselle Ugarte, a popular TikTok creator with nearly 300,000 followers, is testing AI technology to assist with onboarding new clients.
- Ugarte collaborated with Vermont startup Render Media to create a digital likeness of herself for her business.
- She spent a few hours at Render's New York studio, posing for a camera and reading scripts in different moods to capture her likeness.
- The use of AI technology in this way could potentially save creators time and effort in managing their online presence and engaging with clients.
Microsoft and Epic are expanding their strategic collaboration to bring generative AI technologies to the healthcare industry, aiming to address urgent needs such as workforce burnout and staffing shortages and enhance patient care and operational efficiency within the Epic electronic health record ecosystem.
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.
Companies are adopting Generative AI technologies, such as Copilots, Assistants, and Chatbots, but many HR and IT professionals are still figuring out how these technologies work and how to implement them effectively. Despite the excitement and potential, the market for Gen AI is still young and vendors are still developing solutions.
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.
Generative AI, a technology with the potential to significantly boost productivity and add trillions of dollars to the global economy, is still in the early stages of adoption and widespread use at many companies is still years away due to concerns about data security, accuracy, and economic implications.
Microsoft will collaborate with eight universities in Hong Kong to promote the use of generative AI technology in education through the deployment of its Azure OpenAI service.
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.
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.
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.
Generative AI tools are causing concerns in the tech industry as they produce unreliable and low-quality content on the web, leading to issues of authorship, incorrect information, and potential information crisis.
Generative AI is increasingly being used in marketing, with 73% of marketing professionals already utilizing it to create text, images, videos, and other content, offering benefits such as improved performance, creative variations, cost-effectiveness, and faster creative cycles. Marketers need to embrace generative AI or risk falling behind their competitors, as it revolutionizes various aspects of marketing creatives. While AI will enhance efficiency, humans will still be needed for strategic direction and quality control.
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.
Microsoft expects its suite of generative artificial intelligence tools to achieve $10 billion in revenue faster than any other business in the software industry.
Generative AI is being used by 75% of people for work purposes, with 70% of Gen Z also utilizing this technology, according to a survey by Salesforce, which highlights a generational divide in adoption and usage.
The rise of generative AI is driving a surge in freelance tech jobs, with job postings and searches related to AI increasing on platforms like LinkedIn, Upwork, and Fiverr, indicating a growing demand for AI experts.
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 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.
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.
MIT researchers have developed a generative-AI-driven tool called Style2Fab that allows users to add custom design elements to 3D models using natural language prompts, making 3D printing more accessible for novice makers and enabling customization of medical assistive devices without compromising their functionality.
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.
Artificial intelligence is transforming workplace messaging platform Slack, allowing for the use of generative AI to summarize content, automate tasks, and provide assistance, positioning Slack as a strong competitor against Microsoft Teams.
Commercial real estate giant CBRE Group is exploring the use of generative artificial intelligence (AI) tools to improve efficiency and save time across its business, with executives expecting the technology to have a significant impact on their operations and the industry as a whole. CBRE has already been utilizing AI and machine learning technology, and its recent foray into generative AI includes the development of a self-service AI tool that allows employees to generate text and summaries, as well as answer questions using information from documents. The company's investments in technology are guided by the need for clear return on investment (ROI) and the importance of experimentation to learn and adapt.
Accenture has invested in Writer, a platform that uses generative AI to help enterprises create and shape content, with the aim of increasing productivity and driving business impact across various functions.
The era of intelligence driven by artificial intelligence is changing the landscape of human resources, allowing employees to access and utilize information more easily and quickly through generative AI language models, but HR teams need to be ready to help employees take advantage of this new technology.
Microsoft has announced generative AI updates to its search and advertising platforms, including Compare & Decide Ads and Copilot, to revolutionize how users interact with search engines and online ads.