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The world of Generative AI with Microsoft Azure
As we feel welcomed by the world of generative AI, it has formed an important part of our daily lives. This is also forming new ways how solutions are being built for multiple verticals, such as finance, retail, manufacturing, and healthcare. The rate of AI adoption by business is increasing at a dizzy speed and this since early 2017. With more sophisticated language models being introduced, entering this new era would be inevitable for most.
What does this mean for business as we know it?
Let’s break down this technology and see it for what it is. Generative AI is about creation. It can generate new product ideas, design personalized marketing campaigns, and even assist in developing novel drug treatments. The advent of AI technologies like natural language processing and computer vision is far from just another business tool. It’s continuously expanding our horizons in business and changing as we speak.
There are predictions that generative AI could contribute between USD 2.6 trillion and USD 4.4 trillion annually to the global economy by 2040. The most significant impacts will be felt by the banking sector, retail, consumer-packaged goods, pharmaceuticals, and even medical products.
Key business functions such as marketing and sales, customer operations, software engineering, and research and development are predicted to account for 75 percent of the total annual value generative AI can deliver. Consequently, companies looking to ride this wave of technological advancement should invest in this technology and prepare their workforce for the impending transformation. AI has the potential to create enormous value in various key business functions, such as marketing and sales, customer operations, software engineering, and research and development. These functions are expected to make up 75 percent of the total annual value that AI can deliver. Therefore, companies that want to benefit from this technological wave should invest in AI and get their workforce ready for the upcoming transformation.
AI has a wide and deep impact on various aspects of human life. It can shape knowledge work, enhance productivity, boost creativity, and improve society. AI is not just a tool, but a force that permeates and transforms everything.
A disruptive force in various sectors
With generative AI, businesses can explore new possibilities and opportunities, unleashing a new level of creativity and innovation. AI is not just influencing businesses; it’s transforming them. Azure OpenAI Service provides access to powerful language models like GPT-3 and GPT-4, which can automate content creation, improve content quality, diversify content, and enable personalization. These models still need human guidance for prompt creation and output evaluation, but they are already demonstrating their value across various domains.
AI can create content for branding and marketing that matches different customer profiles. It uses customer feedback and persona insights to design marketing campaigns that are highly personalized. AI delivers experiences that meet the individual needs of each customer.
Generative AI has many applications beyond marketing. It enables predictive analytics, which gives businesses a holistic view of future trends, risks, and opportunities. It also helps in strategic decision-making and business process optimization by simulating scenarios and analyzing data. For instance, in supply chain management and resource allocation, AI detects inefficiencies and suggests solutions to improve workflows. It also reduces administrative and repetitive tasks, allowing employees to focus on high-value strategic work, and thus enhancing overall productivity.
Generative AI can also create personalized and exceptional customer experiences through its capabilities. It can use advanced chatbots and tailored suggestions to increase customer engagement, loyalty, and satisfaction. Moreover, generative AI can assist in speeding up research and development processes, enabling faster ideation, prototyping, and testing stages. This helps businesses to quickly adjust to market shifts, shorten product launch times, and offer innovative solutions that keep them ahead of the competition in a dynamic market environment.
AI success stories and case studies
How are companies using generative AI to transform their processes and foster innovation? Let’s explore some examples of how this technology is applied in various verticals and industries:
- CarMax
CarMax, a renowned automotive retailer, saw an opportunity to enhance its customer experience through AI. The company decided to leverage Azure AI including Azure OpenAI Service to generate customer-relevant content for its website, specifically, AI-generated car review summaries. The goal was to create summaries for 5,000 car pages—a task that, if done manually, was estimated to take approximately 11 years. With AI, however, the company achieved this milestone within just a few months. This accelerated production not only improved customer engagement but also significantly boosted the company’s search engine rankings. Read more about CarMax’s innovation. - SymphonyAI
Another compelling example is SymphonyAI, a leader in business-to-business AI solutions. Recognizing the potential of AI to enhance financial crime investigation, SymphonyAI integrated Azure AI services into its Sensa Copilot solution. With AI automating the collection and summarization of financial information, investigators were empowered to analyze suspicious activities more efficiently. This integration led to a remarkable increase in productivity—around 60 percent in initial tests. SymphonyAI’s approach is a testament to how AI can streamline processes, transform industries, and pave the way to reduce. Read more about SymphonyAI. - The City of Kelowna
Public services are also benefiting from AI technology. The City of Kelowna, for instance, used Azure OpenAI Service and Azure Cognitive Search to create an intelligent search solution that responds to citizens’ requests using publicly available information, ensuring data privacy. The system, designed to handle tasks such as updating residents on snowplowing schedules, has allowed the city to streamline its services significantly. By dealing with routine queries more efficiently, the city was able to focus its human resources on more complex queries, improving the overall quality of service delivery. Read more about The City of Kelowna.
Trusting new Technologies: Overcoming the fear for AI
Since 2017, Microsoft has been actively tackling the possible challenges of AI, creating responsible AI systems, assembling cross-functional teams, setting AI standards, and applying responsible AI management models. Microsoft is committed to developing AI in a responsible and ethical manner and in ways that benefit society as a whole rather than a few. To adopt the generative AI era, we need to go beyond understanding and using technology, we also need to establish trust, ensure transparency, and affirm that the AI future is a future we all want to participate in. As we lead the way in this exciting new era, it’s evident that the generative AI era is not just a technological phenomenon—it’s a social transformation.
Welcoming this shift isn’t just about harnessing the power of AI; it’s about understanding, navigating, and addressing its complexities and implications with an ethical, clear vision. Only then can we truly welcome the generative AI era. So, contact us at This email address is being protected from spambots. You need JavaScript enabled to view it. and our Surestep Ambassador team to further book a session for further guidance.