Democratization of Finance and Investment

The democratization of finance is the process of removing control of the finance industry away from financial institutions and distributing power among the public. Democratization can come at various levels -giving access to what was previously only offered to institutional investors, to high-net-worth investors, and making services and solutions only offered to high-net-worth investors, to the mass affluent.

Largely driven by the advancement of technology, the democratization of investments also emerged from tighter regulations in investor protection. Higher transparency in products and fees drove many banks to switch from pure product-focused recommendations to standardized advice based on diverse product packages. Additionally, many banks had no choice but to widen the customer target group and offer, staying on the hunt for new revenue streams from recurrent advisory fees instead of commissions.

The advancement of technology contributed to the proliferation of wealth management services and the rise of non-financial players that offer low-cost, automated investments mimicking traditional portfolio management in the form of proprietary algorithms managing customer portfolios. We are already seeing big tech companies, such as Google, Apple and Facebook, looking to break into the financial services industry. While many expected Rob advisor platform endangers high-end wealth management, taking over its market share, the platforms ultimately cater to investors with lower assets. This brought a new kind of customer segment to the wealth management digital marketplace. Privileges that used to be reserved exclusively for HNWIs are becoming available for regular investors and retail banking customers.

Financial institutions have played catch-up to challenger banks and fintech companies for a few years now. Digital investment platforms have centred mostly on the needs of retail investors, while HNW and UHNW clients continued to rely on personal, relationship-based service. However, wealth managers are now realizing that this model is flawed, in that HNW clients expect a digital experience and services as part of their overall manager relationship. The challenge is to provide a low-cost, digital experience that matches the level of their personal service.

Effectively serving the world’s wealthy is going to get far more complicated in the years ahead. As the demographics of wealth shift, so will the needs and expectations of wealth clients. According to BCG, over the past 20 years, personal financial wealth globally has nearly tripled, rising from $80 trillion in 1999 to $226 trillion at the end of 2019. The group predicts that HNW and UHNW will remain the fastest-growing segments in North America and that the affluent band will be the fastest-growing segment in Asia, Western Europe, and the Middle East. The Middle East and Latin America are also expected to see their share of cross-border wealth grow slightly faster than the global average over the next five years.

With the large and growing affluent and HNW segments in mind, retail banks and asset managers need to use technology and hybrid models to aggressively undercut traditional wealth management providers and offer simple, but appealing, investment management technology across their existing client base. These offerings will be especially attractive to clients in markets with few established wealth management providers. Asset managers will leverage their superior investment capabilities to win new clients through direct channels.

As digitization lowers barriers to entry to wealth management as a business, the competition will intensify and offerings that once provided differentiation will face commoditization. In the past, offering this level of customization would have been cost-prohibitive. But advances in technology will allow wealth management providers to create highly tailored portfolios at a fraction of the current time and cost. The historical distinction between advisory and discretionary products will fade, as innovative mandates combine elements from both.

How Regenerative Cell Treatment Heals Ankle Ligament Tears?

Symptoms of ankle ligament tear The initial symptoms of a ligament tear are swelling on the outer side of the ankle and bruising with a feeling of instability. During ankle ligament damage, the ankle rolls inward, and there will be sudden shooting pain. In some cases, the patients experience cracking noise from the ankle joint. Furthermore, it may become difficult to carry the full body weight on foot due to ankle ligament pain. Without proper treatment, it can become severe and may lead to long-term problems such as arthritis, chronic ankle pain, or instability in the ankle.

Treatment for an ankle ligament tear The conventional treatment methods, including R.I.C.E. (Rest, Ice therapy, Compression and Elevation) therapy, focus on treating the symptoms of the disease only. Administration of non-steroidal anti-inflammatory drugs and corticosteroid injections reduce pain and inflammation. But many side effects may develop if used for a prolonged period. Ankle ligament surgery may not be effective in the long run and involve a painful post-surgical recovery period. It also involves a lot of risks such as bleeding, damage to the nerves, blood clots, in addition to complications that may arise due to general anaesthesia. Moreover, the cost of ankle ligament surgery is higher than the regenerative cell therapies.

Regenerative cell treatment
With the help of minimally invasive non-surgical regenerative therapy, it is possible to resolve ankle ligament pain by treating the underlying cause. Regenerative cell treatment not only addresses the injury but also treats the underlying cause and only local anaesthesia is required for the procedure, thus reducing side effects that come with general anaesthesia. Regenerative treatment aims to reduce pain by enhancing the repair mechanism of the damaged tissues without any major risks.

Platelet Rich Plasma (PRP) therapy, one of the regenerative treatments, involves injecting concentrated platelets from the patient’s own blood to the affected area for enhanced healing. The growth factors in the platelets heal the damaged area by forming connective tissues, regulating cell metabolism, enhancing cell differentiation and much more. Another Medica Stem Cells therapy in Ireland for ankle tear pain includes a treatment where the cells are harvested from your own body, processed and then are re-injected at the site of damage. These cells quickly grow and differentiate into specific types of cells required at the damaged area. Since the cells are harvested from the patient’s own body, there is no risk of rejection or allergic reaction.

Hence, regenerative cell treatment can be considered as a successful ankle ligament surgery alternative. So, avoid the painful and lengthy process of surgery. Get back to your normal routine life faster by undergoing regenerative therapy.

For more information about the regenerative cell treatment for ankle ligament tears, please feel free to refer to contact Medica Stem Cells Clinic about Medica Knee Stem Cell Treatment UK to treat your ankle ligament tear.

Harnessing AI in Retail: A 2020 Overview of 12 Groundbreaking Applications

The Rise of AI in Retail
Between 2013 and 2018, AI startups in the retail sector attracted $1.8 billion across 374 funding deals, as reported by CB Insights. Amazon has been a significant driver of this trend, prompting retail leaders to reconsider the role of AI in both brick-and-mortar and e-commerce strategies to maintain a competitive edge. Currently, over 28% of retailers have implemented AI/ML solutions, a dramatic increase from the mere 4% in 2016. This surge reflects the growing recognition of AI’s potential to enhance customer experiences and streamline business processes.

Case Study: SPD Group’s AI-Driven Retail Innovation
At SPD Group, we have firsthand experience in leveraging AI to benefit retail businesses. We developed an advanced system that offers product suggestions by tracking customers’ movements and actions within a store, aiming to elevate sales and customer satisfaction through intelligent recommendations.

Project Genesis and Goals
The initiative began with the ambition to enhance the customer relationship management (CRM) system of a supermarket. Our objective was to introduce a customer identification system that eliminated the need for physical ID cards and seamlessly integrated with the existing CRM framework. To accomplish this, we analyzed video footage to identify customers, tracked their in-store positions relative to product locations, and alerted staff when customers required assistance. This data was then used to tailor future product offers to individual preferences.

Technical Implementation
We utilized the store’s existing security cameras, supplemented by a few additional ones, and employed the YOLO model with pre-trained weights for its proficiency in recognizing individuals. The Tracklet Association method was instrumental in tracking multiple objects, enhancing the data from YOLO by grouping tracklets using a network flow graph. By calculating camera geometry and implementing perspective conversion, our system could accurately map customers’ 2D coordinates within the store.

Impact and Insights
Post-installation, the store owners gained unprecedented insights into customer behavior. This information, integrated with the CRM, enabled them to forecast product demand and devise personalized promotional strategies with dynamic pricing for different customer segments. The elimination of physical gift cards enhanced the shopping experience, and staff could now offer customized discounts or inquire about previous purchases, adding a personal touch to customer interactions.

Global Smart Retail Trends
The retail industry is witnessing a global trend towards smart retail solutions, where AI plays a pivotal role in shaping customer experiences and operational efficiency. To explore more about AI in retail, visit SPD Group’s AI for Retail.

Interesting Stats and Trends
While the above case study and statistics provide a glimpse into the AI revolution in retail, there are other intriguing trends and data points that are often overlooked:

AI in retail is projected to grow to $19.37 billion by 2025, at a CAGR of 35.4% from 2020 to 2025 (MarketsandMarkets).
Personalization engines powered by AI, which provide individualized content and product recommendations, can drive a 15% increase in revenue when fully implemented (Gartner).
Inventory management enhanced by AI can reduce stockouts by up to 50% and lower inventory holding costs by 20-50% (McKinsey & Company).
These statistics underscore the transformative impact AI is having on the retail industry, from personalization to inventory optimization. As retailers continue to harness the power of AI, we can expect to see further advancements and innovations that will redefine the shopping experience for consumers worldwide.