BMC Software survey: IT leaders bullish on generative and agentic AI

25 Use Cases for Generative AI In Customer Service

One of the popular generative AI healthcare use cases is that itassists surgeons in preoperative planning by generating detailed 3D models of patient anatomy and simulating surgical procedures, minimizing risks, and optimizing outcomes. Leveraging patient data, Gen AI in healthcare forecasts disease progression and identifies at-risk individuals, enabling proactive interventions for better outcomes. Generative AI healthcare elevates the accuracy of medical imaging analysis, enabling early disease detection and precise medical diagnosis.

Media groups, including Schibsted, use it to transcribe interviews and for copy editing. KSAT-TV uses AI to transcribe videos into text, while News Corp Australia employs generative AI to produce 3,000 local news stories a week. For example, Google has developed a new GenAI technique that lets shoppers virtually try on clothes to see how garments suit their skin tone and size.

Consumer Products & Retail

Manufacturing companies can use generative AI to quickly create multiple prototypes based on particular goals, like costs and material constraints, optimizing the product design and development process. With several carefully-produced design options to choose from, manufacturers can start building innovative products speedily. By scanning financial reports, news, and other relevant data sources, generative AI can spot trends, collect competitive intelligence, and produce insights for customer behaviors. As a result, financial analysts can stay ahead of the market shifts and competitor strategies. GenAI can also customize these insights based on specific markets, regions, or customer personas, promoting more targeted strategies and forecasting.

• Generative AI creates novel drug compounds with desired properties, expediting the drug discovery process and broadening therapeutic options.
• HumanEval measures an LLM’s ability to generate functionally correct code through coding challenges and unit tests.
• The company has already developed five successful compounds, including a potentially revolutionary Inflammatory Bowel Disease (IBD) drug which has entered Phase I clinical trials in early-2024.
• The RAGAS framework is designed to evaluate Retrieval Augmented Generation (RAG) pipelines.
• Yet, this activity is often not a single call to ChatGPT or another LLM but a collection of different tasks.

This integration of Generative AI and healthcare is transforming patient care by enabling more accurate diagnostics and personalized treatment options. Develop specialized AI models tailored to healthcare administrative tasks, leveraging techniques such as natural language processing and knowledge representation. Invest in data preprocessing and feature engineering to enhance model performance on healthcare-specific datasets.

Writing malicious code

For code generation, the company has seen greater-than-average efficiency gains by tuning its coding assistant tool on Intuit-specific code context patterns and repositories. It has also focused on a set of refactoring tasks to expedite its code base modernization efforts, further accelerating development velocity. As the manufacturing landscape continues to evolve, Appinventiv continues to drive innovation and create custom AI development solutions in Australia, US, UAE that redefine industry standards. Volkswagen is a prominent example of a business using artificial intelligence in the manufacturing 5.0 industry to optimize assembly lines. They improve the effectiveness and caliber of their production operations by utilizing AI-driven solutions.

The demo uses whisper.cpp for automatic speech recognition before going to the LLM module which uses Google AI Edge’s MediaPipe to run the Gemma 2B model. Even using a 3B parameter model, this can achieve a real-time conversation, with a realistic voice and also context retention. “There are practical problems with compliance, data exposure, gen AI hallucinating based on poorly scripted domains or incomplete data sets, and how people (yes, people) interact with automated analytics,” IDC warns. But the advent of gen AI has been something of a game changer for vendors and CISOs in turbocharging the adoption of what’s come to be known as AI-powered security. While most enterprises are looking to expand their AI capabilities will continue to increase their cloud footprint, many are looking at alternatives to the public cloud.

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When paired with historical cost information on past maintenance from core business applications, ML can also help determine when to retire vehicles or equipment. Train, validate, tune and deploy generative AI, foundation models and machine learning capabilities with IBM watsonx.ai, a next-generation enterprise studio for AI builders. In sales and marketing, generative AI is deployed in generating dynamic, personalized content, personalized email marketing, social media engagement automation, automated account planning, and advanced training and support. Intelligent automation is the use of automation technologies such as business process management (BPM) and robotic process automation (RPA) to improve decision-making and actions across the government.

Integrate AI tools into existing clinical workflows to facilitate collaboration and oversight. Provide training and education to healthcare professionals on the appropriate use of AI in patient care, emphasizing the importance of critical thinking and validation. Businesses can ensure these guidelines are implemented effectively within their healthcare systems. Let’s explore some other challenges that this disruptive technology poses along with potential solutions that healthcare organizations can leverage to drive the Generative AI impact in their business. Generative AI healthcare algorithms dynamically adjust treatment plans based on real-time patient data, optimizing therapy regimens for better outcomes and minimizing side effects. With the assistance of Gen AI in healthcare, businesses can develop patient-specific treatment plans by analyzing genetic, clinical, and lifestyle data and optimizing therapy options as per individual needs.

Another case of using artificial intelligence in healthcare is the development of a bionic hand. Professor Ortiz Catalán, Head of Neural Prosthetic Research at the Bionics Institute in Australia, led research which resulted in the creation of the “highly integrated bionic hand that can be used independently and reliably in daily life”. By leveraging these benefits, generative AI has the potential to revolutionize the healthcare industry, making it more efficient, effective, and patient-centric. Oil and gas was the only climate-related sector expected to receive a “very positive” boost to its business prospects under unified Republican control. In 2024, tech companies made large investments in various clean energy sources to power new data center growth, including nuclear energy.

This training ensures the model understands human languages and acquires a broad set of general knowledge. Once this model is tailored with company data, it can develop tailored applications that interpret business-specific terminology and provide relevant, up-to-date search results for employees and customers. Often, a second LLM is employed for checks and balances, to oversee the first, ensuring that the interactions stay within boundaries and avoid inappropriate content.

What sets generative AI apart from traditional AI is not just the ability to generate new data from existing patterns. With generative AI businesses can now boost productivity and reduce costs, fundamentally changing how they work. Generative artificial intelligence has become more common in education technology tools, including textbooks and learning management systems. Automated customer service interactions sometimes break down when customers change their intent halfway through a conversation – confusing the virtual agent. This enables the service team to prioritize actions to improve contact center journeys.

Copilots & Virtual Assistants: Emerging Use Cases, Trends, & Strategies – CX Today

Copilots & Virtual Assistants: Emerging Use Cases, Trends, & Strategies.

Posted: Thu, 23 Jan 2025 14:44:59 GMT [source]

That metric brings significant benefits from segmenting customers to gauging customer loyalty. It leverages strategy documents, brand guidelines, and other assets to build customer questionnaires for review in seconds. Indeed, the bot detects the intent change and presents a message to refocus the customer, pull the conversation back on track, and improve containment rates. Alongside the answer, the GenAI-powered bot cites the sources of information it leveraged, which the customer can access if they wish to dig deeper. With this insight, brands can deep dive into how their agents evoke all sorts of emotions and uncover new best practices to coach across the agent population. Some may even share insight on how that sentiment has changed over time so contact centers can decipher – across intents – what is driving positive or negative emotions.

The role of generative AI in healthcare must also be recognized when it comes to administrative work and operations. It helps professionals in the field find information more easily and avoid a lot of manual work. Currently, the project is seeking input from experts across the AI infrastructure supply chain, including renewable energy and sustainability firms. Though Trump pulled out of the Paris Agreement during his last administration, Powers said corporations subsequently began adopting renewable energy and other sustainability commitments, which led to a demand-led growth of the sector. The Inflation Reduction Act and Bipartisan Infrastructure Law, passed under Biden, then served as “true catalysts to the evolving industry,” Powers said.

Prior to the advent of the web, he worked as a crime reporter at a local newspaper in Manchester, UK. John holds an honors degree in electronic engineering from City, University of London. “Agentic AI can take over these manual, time-intensive activities, reducing burnout and allowing human analysts to focus on more strategic and proactive activities, like threat hunting,” Partlow says. But research also suggests this surge in gen AI adoption comes with a fair amount of trepidation among cybersecurity professionals, which CISOs must keep in mind when weaving gen AI into their security operations.

Additionally, a few pharmaceutical giants, including Gilead, Merck, Novartis, Bayer, and Sanofi launched the Digital Pharma Circle (DPC)

, in September 2023. DPC was formed to encourage business leaders from the digital health sector of the pharmaceutical industry to have insightful conversations on the use of digital tech to transform the life sciences sector. Examples include drug discovery, personalized medicine, medical imaging analysis, or generating synthetic patient data for research. It uses your company’s information to learn what features it has and the problems customers face. This means a chatbot can converse intelligently with customers using natural language processing (NLP) and help them solve problems, leading to less time waiting for a human agent to get help. For instance, a conversational AI software company, Kore.ai, trained its BankAssist solution for voice, web, mobile, SMS, and social media interactions.