This paper fundamentally reformulates economic and financial theory to include electronic currencies. The valuation of the electronic currencies will be based on macroeconomic theory and the fundamental equation of monetary policy, not the microeconomic theory of discounted cash flows. The view of electronic currency as a transactional equity associated with tangible assets of a sub-economy will be developed, in contrast to the view of stock as an equity associated mostly with intangible assets of a sub-economy. The view will be developed of the electronic currency management firm as an entity responsible for coordinated monetary (electronic currency supply and value stabilization) and fiscal (investment and operational) policies of a substantial (for liquidity of the electronic currency) sub-economy. The risk model used in the valuations and the decision-making will not be the ubiquitous, yet inappropriate, exponential risk model that leads to discount rates, but will be multi time scale models that capture the true risk. The decision-making will be approached from the perspective of true systems control based on a system response function given by the multi scale risk model and system controllers that utilize the Deep Reinforcement Learning, Generative Pretrained Transformers, and other methods of Artificial Intelligence (DRL/GPT/AI). Finally, the sub-economy will be viewed as a nonlinear complex physical system with both stable equilibriums that are associated with short-term exploitation, and unstable equilibriums that need to be stabilized with active nonlinear control based on the multi scale system response functions and DRL/GPT/AI.

Digital technologies are transforming every aspect of our professional and personal lives. While certainly disruptive, and often the brunt of doomsday futurists, innovations like artificial intelligence (AI) present enormous possibilities to make things work better. They also add some exciting sparkle to traditionally dour (but very important) professions such as financial management. Shiny new image aside, AI is set to transform the financial management sector into a body of strategic, informed, and responsive consultants. There is no doubt that the COVID-19 pandemic has accelerated digital transformation, encouraging many finance professionals to harness the benefits of AI to meet their clients' changing expectations. The well-timed Sage CFO 3.0 research surveyed South African CFOs and other senior financial decision-makers for their views on the role of digital technologies, such as AI, in navigating uncertainty and preparing for the new working world.

While the customer needs change in the wealth management sector, the adoption of digital technologies has remained slow. A new generation of customers are now joining the market, and their needs are influenced by new technologies. Wealth managers need to provide faster and more convenient services with a digital experience in a more volatile and uncertain environment created by the Covid-19 pandemic. McKinsey states that wealth management firms can not overcome these challenges without digital transformation. This article explores 4 key digital technologies transforming the wealth management sector.

Artificial Intelligence (AI) refers to intelligent machines that work and react like humans. AI helps to deliver insights to complex client questions in real time through its virtual conversational interface between business and clients. AI enabled applications such as natural language generation (NLG) is closing the gap between data analysis and investment decisions, providing real-time insights through automated trading strategies. For instance, according to a survey in 2018 by Forbes, 34% of wealth management companies have currently deployed AI within their firms and around 99% plan on deploying AI within the next 3 years. Companies such as Wells Fargo and Bank of America have already deployed AI services to better serve clients.

Insights into the new computing model DEEP LEARNING TOP 5 October 6, 2017 DEEP LEARNING IS THE FASTEST-GROWING FIELD IN ARTIFICIAL INTELLIGENCE (AI) AS AI TECHNOLOGIES CONTINUE TO IMPROVE, MORE COMPANIES ADOPT DEEP LEARNING TO ACCELERATE THEIR BUSINESSES… TOP 5 1. Gartner releases the top 10 strategic technology trends for 2018 2. Oracle adds GPU Accelerated Computing to Oracle Cloud Infrastructure 3. Chemistry and physics Nobel Prizes awarded to teams supported by GPUs 4. MIT uses deep learning to help guide decisions in ICU 5. Portfolio management firms are using AI to seek alpha GARTNER RELEASES THE TOP 10 STRATEGIC TECH TRENDS FOR 2018 Gartner, Inc. announced its top strategic tech trends and predictions at the 2017 Gartner Symposium this week. "The first three strategic tech trends explore how AI and machine learning are seeping into virtually everything and represent a major battleground for technology providers over the next five years. READ ARTICLE ORACLE ADDS GPU ACCELERATED COMPUTING TO ORACLE CLOUD INFRASTRUCTURE Oracle announced at Oracle OpenWorld this week it is now offering NVIDIA's P100 GPU instances in its public cloud, with plans to add the more powerful V100 GPUs in the near future. "This is the first time Oracle has offered access to GPU acceleration, reflecting an industry-wide move to provide access to cloud hardware optimized for artificial intelligence and machine learning.

Gartner releases the top 10 strategic technology trends for 2018 2. Oracle adds GPU Accelerated Computing to Oracle Cloud Infrastructure 3. Chemistry and physics Nobel Prizes awarded to teams supported by GPUs 4. MIT uses deep learning to help guide decisions in ICU 5. Portfolio management firms are using AI to seek alpha 5. GARTNER RELEASES THE TOP 10 STRATEGIC TECH TRENDS FOR 2018 Gartner, Inc. announced its top strategic tech trends and predictions at the 2017 Gartner Symposium this week. "The first three strategic tech trends explore how AI and machine learning are seeping into virtually everything and represent a major battleground for technology providers over the next five years. READ ARTICLE 6. ORACLE ADDS GPU ACCELERATED COMPUTING TO ORACLE CLOUD INFRASTRUCTURE Oracle announced at Oracle OpenWorld this week it is now offering NVIDIA's P100 GPU instances in its public cloud, with plans to add the more powerful V100 GPUs in the near future. "This is the first time Oracle has offered access to GPU acceleration, reflecting an industry-wide move to provide access to cloud hardware optimized for artificial intelligence and machine learning. READ ARTICLE 7. CHEMISTRY & PHYSICS NOBEL PRIZES AWARDED TO TEAMS SUPPORTED BY GPUS It's not every day your work assists someone who wins a Nobel Prize.

Without a doubt, 2016 was the year'disruption' became tangible. Events like Brexit, the U.S. election and India's demonetization exercise brought home the reality we are living in a fast-changing global society where a sense of anti-establishment and rebellion is accelerating change. This shows no sign of stopping in 2017, with new technologies allowing banks to offer service levels more synonymous with hospitality than financial services, and with established technologies like artificial intelligence and robotic process automation seeing a resurgence in combination with new voice commerce models, IoT data, and robo advisors to offer more personal, more contextual and ultimately unique banking experiences for each and every one of us. In meeting with decision-making executives from the U.S to Europe, the Middle East, India and Singapore, I have compiled a clear list of trends that are dominating technology investment discussions across the globe's leading banks. In 2016 we already saw several leaders' like DBS, Santander, Wells Fargo and Bank of America roll out their chatbots, but 2017 is the year when the rebirth of this very old technology will come into its own.