Saxon AI

  Present-day banks and financial institutions understand that pursuing digital transformation initiatives is imperative to remain competitive in this evolving market landscape. The customer landscape is also rapidly changing. It is vital to become customer-centric and take fruitful initiatives to enhance the customer experience. Among these initiatives, banking application development is the fundamental pillar of digital transformation. The right approach can be an absolute game-changer. Rather than crafting custom applications from scratch (often takes years),   low-code solutions   are a popular approach for financial institutions. Building applications from scratch  is not only time-consuming but also expensive and involves multiple rounds of testing and refinement. Low-code solutions offer this fantastic pathway to mitigate technical debt by enabling swift and agile development with visualized and fully automated workflows and a continuous cycle of testing and f...

  According to a  Gartner survey, 60%  of leaders in IT and D&A reported that their organizations embraced AI-generated synthetic data due to the challenges in real-world data accessibility. Further,  51% of the leaders  cited that non-availability of data is driving the adoption. The concerns of data scarcity in the business world and stringent data privacy laws make the availability of real data very limited. Whereas in today’s world, data is the lifeblood of every business. A lack of quality data can impede an organization’s growth. In cases where enterprises are struggling to find data because of data privacy concerns, safety concerns, or because it does not exist, they are looking forward to having synthetic data to fill that need. As we all know, the latest Generative AI tools excel at crafting meaningful works, images, videos, and more, much like the ones created by humans. Interestingly, we can use generative AI to generate valuable data itself! In t...

  Your upcoming workforce is Gen Z. Their views on work and the workplace are different from those of your existing workforce. They prioritize employee experience and job satisfaction more than compensation. They don’t hesitate to switch jobs if they do not feel valued and see growth opportunities. If you are not preparing your workplace for Gen Z, you are embarking on a bumpy ride. Generative AI, a new wave in the technology world, promises to help you dodge the workplace challenges rushing towards your business. Breaking down Gen Z and employee experience It is important to understand what Gen Z expects at the workplace. Most employers think that money is the only motivation for employees. But this is not applicable for all workplaces and workforces. Let’s dig deeper into this matter.  McKinsey  did a study on employee preferences based on age groups. As one would think, inadequate compensation is the top reason for leaving a job for most of the existing workforces, tha...

  Applied AI – the application of AI technology in business, is skyrocketing. An   Accenture report on AI   revealed that 84% of business executives believe that AI adoption would drive their business growth.   Applied AI   empowers businesses with end-to-end process automation and continuous process improvement for greater productivity and profitability. However, applied AI is like a rose garden. AI-powered business applications are enticing, but you should be aware of the thorns surrounding the flowers. You need to use frameworks such as Responsible AI while embracing AI for your business. You should understand potential risks such as adversarial attacks and data poisoning. Understanding these concepts will help you address common hiccups in AI adoption for business before they choke your initiatives.  Responsible AI   Artificial intelligence is powerful. When used responsibly, AI can be a solution to many problems and change the world. It can be the...