In collaboration with Microsoft, Wizeline welcomed more than 60 partners to our event in Montreal on October 19. 

These partners gathered to discuss generative AI insights in the core areas of: 

• Software development
• Customer care
• Data Analytics

We were pleased to share the latest thinking, and our presenters enjoyed the warm response. These included: 

• David Beauchemin, Microsoft, The Era of AI: Meeting the Moment
• Anibal Abarca, Hayde Martinez and Yvan Menuet, Wizeline, Generative AI: The Era of Creative Computing and Augmented Human Intelligence  

Join us in diving into the context of the gathering that facilitated valuable exchanges of ideas, shared experiences, and the opportunity to forge meaningful connections in the ever-evolving world of artificial intelligence.

Microsoft Meets the Moment in the Era of AI 

David Beauchemin of Microsoft took the stage to share how Microsoft is approaching generative AI and key focus areas.

The Rising Investment in AI

Investments in AI are rapidly increasing, a trend that is projected to continue into the future. With an expected market size exceeding $20 billion next year, it’s clear that companies across the globe see immense value in this transformative technology.

Let’s consider some intriguing numbers. According to recent reports, about 86% of companies plan to increase their investment in AI over the next year. This is quite a staggering figure and speaks volumes about how critical AI has become for business operations.

This increased financial commitment isn’t just about staying competitive – though that’s certainly part of it. It also represents businesses’ recognition of the myriad ways AI can enhance efficiency, productivity, and innovation.

The expanding use cases for AI make these investments even more compelling. From healthcare to finance, retail to manufacturing – AI’s potential for disruption and innovation is virtually limitless.

AI can help businesses streamline operations, make informed decisions quickly, personalize customer experiences, and even predict future trends. It’s no wonder, then, that organizations are eagerly putting their money where the promise of transformative technology lies.

AI Will Change How We Interact With Software

Artificial Intelligence is fundamentally changing how we interact with software, making it more intuitive, efficient, and personalized. Think about how you interact with new software today. It often takes time to learn precisely how to harness the intended capabilities, especially of more complex software.

As a result, AI continues to play a role in easily accelerating the learning curve through personalized prompts that reduce the time to value. As AI continues to advance, our interactions with software will become even more seamless and integrated into our daily lives.

Importance of Data

Data is the foundation and catalyst of effective generative AI, especially for large enterprises.  Because models rely on data to learn, make decisions, and improve their performance, the quality and effectiveness of its assistance always reflect the information it has to work with. Second, cloud infrastructure must be in place to house the data, making data collection and management a critical component of AI development.

Key Tenets of Responsible AI

Before you build or use an AI solution, it’s important to know if and how the solution provider will use your data. With Microsoft solutions, you own your data, and Microsoft doesn’t access, save, or use it, not even to train AI models. 

Top AI Use Cases

The use cases where Microsoft is seeing the most interest are:

• Generating new content: images, marketing, and promotional materials

• Summarizing existing content: operating manuals, legal warranties, and other large documents

• Writing code: automation of tedious tasks and trouble-shooting inherited code

• Automating contact center operations: customer communications and self-service

Wizeline Shares the Advantages of Augmenting Human Intelligence

The Wizeline team, led by CTO Anibal Abarca, gave our partner attendees a deeper dive into how generative AI works and the capabilities it will bring to businesses and teams. 

Supervised Vs. Unsupervised Machine Learning

Supervised and unsupervised machine learning are two fundamental paradigms within the field of machine learning. They differ in their approach to learning from data and the types of problems they can solve. 

Generative AI is based on supervised machine learning, which is more robust than unsupervised machine learning. In unsupervised machine learning, algorithms are trained on unlabeled data. The algorithms have to learn to find patterns in the data with no idea of the results wanted. 

In supervised machine learning, algorithms are trained on labeled data. The algorithms can see patterns in the data and know the results wanted. That makes it faster and easier for them to interpret and learn from new data as it’s added.

Empowering Self-Service

Both company employees and customers want the easy self-service that generative AI offers. For an employee, this could mean instant access to real-time data on mobile. For a customer, this could mean personalized experiences that remove barriers and build trust. As a whole, this concept is being applied in various industries to enhance user experiences, improve efficiency, and reduce the need for human intervention in routine tasks. Examples often include virtual customer service representatives, AI-powered chatbots, self-service kiosks, and voice-activated assistants. 

Empowering self-service with AI is all about providing users with the tools and resources they need to accomplish tasks and access information independently, while businesses and organizations benefit from increased efficiency and improved customer experiences.

AI and Jobs

People are naturally worried about generative AI taking human jobs. As Microsoft says, AI isn’t meant to run on autopilot; it’s meant to assist humans as a copilot. In that way, AI is an innovation similar to the calculator. 

Calculators freed people from adding, subtracting, multiplying, and dividing by hand. This time, it was redeployed toward more complicated, complex, and higher-value tasks. 

Wizeline Academy: Get More Insights into Generative AI 

For the full event recording click here.

As a global technology services provider building high-quality digital products and platforms, we offer additional free, live tech education programs designed to develop today’s most in-demand skills. With free boot camps and webinars regularly, check out upcoming events and share them with your team today. We hope to see you there!