“The answer is to extend and customize a model to make it smart about your own business. While hosted models like ChatGPT have gotten most of the attention, there is a long and growing list of LLMs that enterprises can download, customize, and use behind the firewall — including open-source models like StarCoder from Hugging Face and StableLM from Stability AI."—How to minimize data risk for generative AI and LLMs in the enterprise | VentureBeat
This should really mention that tools like Make and Zapier are critical to making all this work.
“That jargon translates to giving businesses the ability to free themselves from a monolithic architecture to create tech stacks, applications, and services that are specifically designed to their needs. It vastly reduces costs, speeds up development, and is incredibly flexible."—Forget gen AI for now: these are the martech trends you really need to know about - Tech.eu
“Composable architecture I would be the first to admit that ‘composable architecture’ does not sound as exciting as XR but it is arguably much more important. Indeed, without composable architecture many of the most exciting XR opportunities can not be realised. If you’re unfamiliar with the term it is, in a nutshell, combining API-first microservices on the cloud using headless technology. That jargon translates to giving businesses the ability to free themselves from a monolithic architecture to create tech stacks, applications, and services that are specifically designed to their … read more >
The key insights from this article are that the rise of artificial intelligence (AI) will have a significant impact on the job market and the global economy. It is estimated that over 300 million jobs worldwide could be disrupted by AI, and at least 12 million Americans will change to another field of work by 2030. However, AI also has the potential to add trillions of dollars to the global economy and create new job opportunities. Proper preparation and adaptation are necessary to navigate the AI revolution successfully. read more >
The article discusses the damaging consequences of mandating a return to the office. It cites three reports that highlight the negative effects, such as higher attrition rates and recruitment struggles. The article also mentions that a majority of employees are willing to leave their jobs if flexible work schedules are eliminated. It emphasizes the need for companies to adapt to flexible work policies in order to retain employees and remain competitive. The author also discusses the cognitive biases of status quo and anchoring, which influence employees’ preferences for flexible work. read more >
The article discusses how employees are secretly using AI tools like ChatGPT to enhance their productivity at work, even though their companies have banned the use of AI. The article highlights the benefits of AI in boosting productivity and efficiency, but also mentions the concerns and risks associated with AI implementation. It emphasizes the need for companies to embrace AI and create clear guidance to level the playing field for all employees and incentivize innovative use cases. Ultimately, the article suggests that smart employers will celebrate and integrate AI into the workplace. read more >
The article discusses how companies are training their workers on generative AI, specifically ChatGPT. Some companies, like PricewaterhouseCoopers, are implementing mandatory training programs to educate their entire workforce on the basics of generative AI. Other firms, such as Booz Allen Hamilton, offer voluntary training sessions for employees. The article highlights the challenge of training workers on a rapidly evolving technology and the need for clear guidelines and training to address the impact of AI on jobs. read more >
The article discusses the potential risks and challenges associated with the use of generative AI, also known as Shadow AI. It highlights the similarities between Shadow AI and Shadow IT, emphasizing the need for organizations to establish centralized strategies and governance to protect their data. The article suggests three ways to reduce risk and protect data: establishing a centralized strategy, classifying data and use cases, and bringing AI to the data. It emphasizes the importance of user behavior and decision-making in ensuring the security of generative AI. read more >
Accenture is investing $3 billion in generative AI to improve its capabilities and leverage AI in various ways. The company plans to double its headcount of data and AI experts and aims to use AI to enhance client work, improve its own operations, and transform the way it works for clients. Accenture’s Paul Daugherty believes that generative AI will be essential for businesses in the future, but many struggle to identify the right use cases and prioritize investments. The company is also focused on responsible AI, establishing a compliance program and working with stakeholders to ensure … read more >
A recent study by the McKinsey Global Institute reveals that artificial intelligence (AI) will disproportionately replace more female employees than male employees by 2030, particularly in industries traditionally dominated by women. The study predicts approximately 12 million occupational transitions in the US alone due to AI automation. Women are 1.5 times more likely than men to require transitioning into new occupations. Industries such as office support and customer service, which are often held by women, are most vulnerable to AI disruption. The report calls for a shift in hiring … read more >
