Lavinia Spatariu, June 4th, 2023
As organizations generate more and more data and the relationships between different data points are becoming more complex, it’s important to leverage data analytics and AI in order to identify patterns and predict outcomes.
Generative AI or GenAI goes a step further and enables the generation of content such as images, videos, text, audio and 3D models by using the knowledge gained from existing data to generate unique, complex and realistic outputs. For this reason, we are seeing it commonly implemented in the design, gaming or entertainment industries. As terrifying as it sounds, GenAI manages to achieve human-like creativity and its use cases will grow exponentially over the coming years and expand across multiple verticals. We are also seeing innovation in healthcare where synthetic medical data is used to train Machine Learning models in order to design new drug formulas or clinical trials.
Some of the most common use cases for Generative AI include:
- Chatbots used in customer service, sales and technical support;
- Creating art pieces;
- Creating a particular style of music and generating human-like voices;
- Creating entire adverts, films (and improving dubbing);
- Writing resumes, emails, essays and even creating dating profiles;
- Creating deepfakes for mimicking specific individuals such as celebrities or historical figures;
Probably the most widely adopted GenAI capability is text generation. ChatGPT has already reached 100 million users and there is a constant need to expand its capacity and availability to end users as Natural Language Processing and content creation are more critical than ever before.
The successful adoption and integration of Generative AI generally depends on more than just technology. People, operations, awareness of responsible AI practices, data governance, existing systems and of course change management. Digital transformation is already a journey in itself for most organizations, however a new approach will be needed for successful implementation as generative AI is developing at a very fast pace. Those organizations which can swiftly adapt their strategies and evolve their processes by integrating GenAI will be able to gain a competitive advantage and what we’re noticing is a division and an increasingly wider gap in efficiency between those entities which are leveraging AI and those which are not.
One very important aspect of successful planning and implementation is having all the key stakeholders involved in the process from the early stages. Such stakeholders can include senior leadership, IT management, Operations, HR and Legal. An early assessment of various business needs (which are constantly evolving), viability, readiness and applicability will ultimately constitute the main factors for either success or failure and will have a long-term impact on the business itself.
Large tech companies such as Microsoft are moving fast when it comes to adding generative AI capabilities into mainstream workplace applications. In March, Microsoft announced Office 365 Copilot and Dynamics 365 Copilot. “Copilot combines the power of large language models with your data and apps to turn your words into the most powerful productivity tool on the planet,” Jared Spataro, Microsoft Corporate VP said in a press release.
The gradual integration of AI capabilities into products or services we already use in our day-to-day lives will have a profound impact on how we live our lives, how we communicate and even on who we are as individuals. The sheer concept of identity is changing. It is absolutely vital for humanity to continue to learn, grow and decide how far AI should go.
