LIVE Virtual Media Roundtable on May 24<\/figcaption><\/figure>\n\n\n\nCautious adoption of AI<\/h3>\n\n\n\n
Having created a stir in the tech industry, generative AI is a type of artificial intelligence technology that can instantly create a wide array of content, such as computer code, essays, emails, social media captions, images, and poems. It is the technology behind popular programs like OpenAI\u2019s ChatGPT.<\/p>\n\n\n\n
Generative AI models learn the patterns and structure of their input training data to generate new data with similar characteristics.<\/p>\n\n\n\n
However, businesses have been cautious in adopting artificial intelligence. As organizations venture deeper into AI, establishing trust in core models, especially those trained on extensive data sets, becomes crucial for understanding the underlying data and the resulting outputs.<\/p>\n\n\n\n
\u201cWe often describe to our own teams the challenge of using some of these models for coding recommendations, as we live in the world of software licenses and copyright law,\u201d Hicks said.\u00a0<\/p>\n\n\n\n
\u201cAnd you have to stay within those guide rails.\u00a0You can’t just take code because it’s successful and put it in your products.\u201d<\/p>\n\n\n\n
The CEO emphasizes the importance of understanding the origin of the data used for training the models and the source of the recommendations, a process demonstrated in their collaboration with IBM on Ansible. <\/p>\n\n\n\n
He also insists on the importance of governance \u2013 understanding the reasons behind specific outputs, the nature of the input data, and how it might change as models are incrementally trained with new data over time.<\/p>\n\n\n\n
However, for him, those challenges are not insurmountable. In his view, it is inevitable that new practices will be developed in those areas. <\/p>\n\n\n\n
\u201cOpen source will be a large driver of innovation here. Just like open source has been for code, it will be in the model world, in the data world, and in governance. But I think we’ll need those components to start moving [AI] into production and mission-critical areas,\u201d the Red Hat CEO said.<\/p>\n\n\n\n
He voiced confidence that Red Hat\u2019s open-source development model could help \u201cunlock the potential\u201d of AI for enterprises.<\/p>\n\n\n\n
\u201cThere’s a great opportunity in this space of AI for us to move beyond impacting code into other domains and help enterprises be able to leverage that innovation. This new opportunity ahead of us will stretch us into data and other domains that the open model can be really applicable with.\u201d<\/p>\n\n\n\n
Based on accurate data<\/h3>\n\n\n\n
Meanwhile, Red Hat Chief Technology Officer Chris Wright <\/strong>said that while AI-based programs like ChatGPT build their large language models (LLMs) \u2013 a type of AI that can mimic human intelligence \u2013 on essentially all the publicly available data it could collect, Red Hat’s LLMs are curated and domain-specific. These LLMs have been built on data that Red Hat knows is correct, he said.\u00a0<\/p>\n\n\n\nThe CTO noted that responses from conversational generative AI chatbots like ChatGPT and Bard (developed by Google) are well phrased but not always accurate, which is \u201cnot OK in an enterprise context\u201d. <\/p>\n\n\n\n
He said that enterprises are using foundation models and focused transfer learning to train very specific datasets, perhaps even their own data, to help advance their businesses. <\/p>\n\n\n\n
\u201cOur focus is on integrating these tools into our platform. As such, we developed Ansible Lightspeed in partnership with IBM, an expert in generative AI and domain-specific AI techniques. This partnership has enabled us to use natural language to generate Ansible Playbooks,\u201d Wright said.<\/p>\n\n\n\n
Ansible Lightspeed helps users of all skill levels to create Ansible Playbooks using AI-generated recommendations, enabling them to automate tasks using English language commands.<\/p>\n\n\n\n
Red Hat\u2019s OpenShift AI powers IBM\u2019s Watsonx.ai platform\u2019s generative AI services, facilitating scalable, intelligent applications and services across enterprises. Customers can fine-tune open source LLMs with domain-specific data, improving their accuracy for different use cases.<\/p>\n\n\n\n
The tech giant recently introduced new features for its OpenShift AI, leveraging the power of open-source technology to provide a scalable foundation for IT operations while fostering an ecosystem for data scientists and developers.<\/p>\n\n\n\n
5G a \u2018game changer\u2019<\/h3>\n\n\n\n
With the advent of 5G, the fifth-generation technology standard for broadband cellular networks, Red Hat\u2019s Wright views it as \u201ca really major change in the networking world\u201d. For him, the additional bandwidth, reduced latency, and improved density of connections in the 5G network help to expand enterprise use cases, which in turn require enterprise-focused applications. <\/p>\n\n\n\n
5G is expected to drastically scale hyper cloud adoption and edge computing through Internet of Things (IoT) devices.<\/p>\n\n\n\n
\u201cIt’s a really important place for Red Hat in our ecosystem and a huge game changer for many different industries across different enterprises,\u201d Wright said.<\/p>\n\n\n\n
Hicks agreed about the opportunity that 5G has to offer. \u201cWe work with a really strong ecosystem of partners and equipment providers. And we’re really excited about the opportunity with 5G, because we are seeing that as a global trend where it certainly will be the next wave of telecoms,\u201d he said. <\/p>\n\n\n\n
OS for \u2018data center on wheels\u2019<\/h3>\n\n\n\n
Red Hat is also in collaboration with American automaker General Motors (GM) in the development of software-defined vehicles that run on the Red Hat In-Vehicle Operating System, which is based on the tech giant\u2019s flagship product Red Hat Enterprise Linux (RHEL).<\/p>\n\n\n\n
\u201cThe work that we’ve done with GM has been focused on bringing our flagship Enterprise Linux product into the vehicle,\u201d Wright said, describing a vehicle connected to the network as a \u201cdata center on wheels\u201d. <\/p>\n\n\n\n
\u201cThis is another key area RHEL can do in vehicles. It can supply the underlying platform for the infotainment system as well as the ADAS, or assisted driving and autonomous driving system. Those have differing levels of functional safety requirements,\u201d he said.<\/p>\n\n\n\n
\u201cFrom an engineering perspective, we’re making major strides in being able to deliver functional safety, which is a fundamental requirement for any in-vehicle offering.\u201d <\/p>\n","protected":false},"excerpt":{"rendered":"
Red Hat Inc, a US-based global leader in open-source software solutions, is joining other tech giants in integrating generative AI into their products and services, according to its top executives.<\/p>\n","protected":false},"author":2,"featured_media":101658,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[117,117,118,122,13938,13938],"tags":[17969,19239,8598,11956],"class_list":{"0":"post-101653","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-business-en","9":"category-the-story-special","10":"category-technology-en","11":"category-business-strategy","13":"tag-generative-ai-2","14":"tag-red-hat-summit-2023","15":"tag-open-source","16":"tag-red-hat-2"},"yoast_head":"\n
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