AI Technology Automating Information to Transform the Future of Work
Description:
The way we navigate and interact with information is constantly evolving to keep up with our rapidly increasingly digital world. Social networks and digital media platforms backed by subjective influence have paved the way towards complete polarization, and diverse sets of perspectives are being highlighted in technologies that are built to attract and connect consumers. This means that improving the trust and quality of information we use has become even more essential to effectively adapt to the new media age and set the tone for the future of work. Through this, consumers have begun to adapt to the new age of information consumption. Automating answers in real-time and continued support has boosted the workforce morale and validated the trust coming from those using the information.
Key Takeaways:
The development of emerging technologies that are changing the way we use the information to make decisions
The vast amount of opportunities for business information growth that stems from an expansive technological landscape that combines human and artificial intelligence
The workplace and industry benefits of integrated technology that provides information in real-time.
Data, Not Software, Is Eating The World
Description:
A data-driven organization is imperative for the future. The smartphone and the ubiquitous computing have produced an exponential data explosion. From fueling the recent success of “artificial intelligence” (AI) and the rise of “digital transformation” to its accelerated growth due to Covid-19 to new approaches to its “monetization” to how it makes businesses and consumers both anxious and animated, data dominates our deeds, debates, and dreams. If the last decade was about “software eating the world, this decade is about “data eating the world”. Organizations are now faced with the huge challenge of managing, harnessing, and leveraging all of this data. We are still at the very beginning of the data revolution, and of understanding its second, third, and fourth-order effects. Organizations that are successfully transforming their business, technology, and operations strategy to align with their data strategy are the ones that will have a sustainable competitive advantage.
Key Takeaways:
A mental-model for managing, harnessing, and leveraging data within an organization
Strategies for improving data culture and democratization within an organization
Key blockers and challenges on the journey to becoming a data-driven organization