The open-source approach involves three significant elements

1. Involving the workforce in co-creating strategic decisions.
2. Employees are responsible for how to work the change.
3. Open conversation about the change is encouraged.

The co-creation part provides a better decision-making process. It involves the leader analyzing whom to include and when through an open decision framework. The framework provides a guideline for the leaders to validate decisions based on expertise, impact, and customer satisfaction. The main motto is to facilitate an open level of transparency on how the decisions are made. Although the approach slows down the decision-making process but saves a great deal down the road.

After the initial strategic decision phase, leaders have to shift the ownership of the implementation to the employees by setting strategic goals and guardrails to support them. Whereas the employees will be accountable for defining success metrics, spotting obstacles, delegating tasks, and how they collaborate. The approach provides the freedom to work within the guardrails set by the leaders and execute the change more effectively by spotting the barriers and sharing the best practices throughout the company. The leader will then be able to remove the obstacles, ensure alignment and provide timely support to the employees.

Leaders should allow employees to share their negative emotions and uncomfortableness on the change journey. Acknowledging their negative emotions reduces their resistance to change and provides an opportunity to improve their control over their feelings and explore rational responses to change. Leaders should encourage employees to share their change insights with the workforce. It can facilitate quick addressing of resistance throughout the entire workforce. Leaders need to understand that telling is not talking. They should initiate two-way conversations with their employees by encouraging them to question the process and answer them. This will transforms employees into seekers and not just receivers of change information. 

Here are some key-action checklists involved in this approach

• Identifying key leaders who are will willing to support and participate in an open-source approach
• Do the organization structure and front-line teams encourage employees to participate and provide insights in an open-source conversation?
• Does the organization have the right communication platform to monitor, collect and consolidate the information from employees?
• Do the employees have access to leaders in real-time to enable multidirectional dialogue? 
• Does the open-source approach suitable for the current change initiatives – are there any complexity, sensitivity, and time constraints?
• Define a clear statement on the change goals, model, and encouraged behaviors that are required. 
• Define when the open-source approach will begin and how the teams will be communicated.
• Outline the areas that will be managed by the leaders and how much control will be given to the narrative, to establish a transparent medium. 
• Define how success will be measured and the rewarding system to encourage employee engagement. 

Reference:

• Changing Change Management - An open-source approach - Gartner

• Engaging Employees in Change through an open-source approach - BCG

• Cracking the code of change - HBR

The extent of these disruptions is more than what meets the eye. The convergence and multi-layered adaptation of technologies such as artificial intelligence, cloud, edge computing, blockchains, and virtual reality will be pushing towards a more decentralized and autonomous ecosystem. In this article, we have cumulated some of the significant disruptions that will be opening up major opportunities for businesses and people.

The scope of 5G

The capabilities of 5G technology will drive the adoption of Private Networks. Opening up of 5G spectrum for regulators will accelerate the deployments of more private networks, the speed of 5G technology being the main driver. Key benefits of a private network will include low latency, increased security, and a customizable network. Predominant industries will take the leading role. Industries in the manufacturing, mining, and energy sector will be highly benefited from the private networks.

The need for industry-specific solutions and rapid growth in IoT roaming data has paved the way for the emergence of Communication Service Providers (CSP). CSPs are more focused on cloud-based services that enable far greater stability. The rise in 5G connectivity and agreements for permanent roaming connections, increased the market awareness of CSPs, which is evident from the acquisition of Jasper by CISCO. It opens up opportunities for roaming vendors and operators to capitalize on this uprising. Industries that benefit from 5G roaming verticals include Automotive, Gaming, Manufacturing, Healthcare, Smart Cities, and Agriculture.

E-sports and Video game subscription

In past years, we have seen the acquisition of Game studios and developers by Big Giants like Microsoft, Sony & EA. The phenomenon will extend further to increase the value proposition for users by driving the publishers to constantly create exclusive content for their platform models like Xbox and Playstation. The industry will move towards subscription models like the digital video streaming market, which will open up opportunities for smaller developers to be backed up by large companies.

E-sports is gaining acceptance with consumers who are prime to explore new avenues of competition and sports. The inclusion of e-sports in the 2022 Asian Games, events like the e-premiere League, and Formula1 e-sports series have interested the streaming platforms. They can gain a high value on revenue as e-sports broadcasting goes mainstream, making it a vital part of streaming platform businesses.
Energy and Power – Smart Grid
Investment into Smart grid platforms is accelerating as utility companies and governments seek a more efficient system to reduce the cost of energy production and efficient energy consumption. Analytics will be a critical part of effectively building networks, that is demand-responsive and support a low-carbon future. Consumers will have high benefits from data on energy usage and reduced impacts on the environment. The decentralized structures of the smart grid and its active user roles will support generating more data for advanced analytics.

Smart Hospitals

After the onset of the pandemic, the health sector’s focus on remote services has increased. The need for critical data transmission without disruption has paved the way to adopt edge computing. Edge computing will be crucial in handling data-heavy tasks, reduced lag and latency, and real-time applications with connected health care vehicles and systems. It opens up opportunities for network operators and vendors to a partnership with Healthcare Providers.

Electric Vehicles Charging Network

Electric vehicles are gaining acceptance with end-users and governments backing up the manufacturing with incentives for adoption and tax exceptions. Key challenges lie ahead with charging stations and their pricing policy. Private and Public charging networks will see improvements, and a fair use pricing policy needs to govern. Vehicle manufacturers will gain an important role in the charging network, providing additional revenue and loyalty benefits, and end-users will gain significantly with a more comprehensive charging network making EV ownership more viable.

Technology adoption to increase supply chain resilience

Disruption during COVID, legislative pressures, and cyber attacks have driven-up awareness of supply chain vulnerabilities. The implementation of AI and Blockchain technologies to improve security is increasing following the data breach in 2021. Supply chain cybersecurity will be the key concern, and SaaS platforms that provide enhanced security measures will be benefited.

Consumer Data platforms to increase customer satisfaction

Investments in consumer data platforms are expanding rapidly with more integration models. As these platforms provide better insights into consumer behaviors, Brands and Enterprises are willing to integrate with all their channels to increase customer satisfaction.

Consumer data platforms will be providing key insights on the following

• User demographics
• Actions and engagement
• Transactional history
• Users’ devices
• Consumer behavior

These disruptions will be significant as all things digital continue to accelerate.

References
Solactive future trends report 2022
Salesforce Small and Medium Business Trends Report 2022
Deloitte 2022 telecom industry outlook

The real-time availability of data and its accessibility have increased the need for enhanced security measures. The Facebook security breach issues have triggered more demand for online security and data protection, not only for customers but for business entities too.

In this article, let’s explore the trends that significantly utilize the value of data.

Decision Intelligence

The role of data analytics has simplified the decision-making process. Decisions can be influenced by a multitude of experiences and biases. But in a world of rapid change, organizations must make better decisions faster. Decision Intelligence improves organizational decision-making by modeling decisions through a framework. Fusion teams can manage, evaluate and improve decisions based on learnings and feedback. Integrating data, analytics, and AI allows the creation of a decision intelligence platform to support, augment and automate decisions.

As per Gartner Survey, by 2023, more than a 3rd of large organizations will have analysts practicing decision intelligence, including decision modeling.

Artificial Intelligence Engineering

The growth of Artificial Intelligence and its compatibility with other technologies have paved the way for many multifaceted applications. The incorporation of AI from complex business processes to daily task management seems to be increasing. According to Gartner, by 2025, 10% of enterprises that establish Artificial Intelligence Engineering’s best practices will generate at least 3 times more value from their efforts than the 90% of the enterprises that do not.

The incorporation of Artificial Intelligence to manage data, called Generative Artificial Intelligence, learns a digital representation of artifacts from sample data and uses it to generate new, original, realistic artifacts that retain a likeness to the training data but don’t repeat it. By 2023, Generative Artificial Intelligence will account for 10% of data produced compared to what it produces today i.e., 1%. Generative Artificial Intelligence will function as an engine of rapid innovation for enterprises.

Cloud-Native Platforms

The data delivery will be faster to value with Cloud-native platforms that use the core elasticity and scalability of cloud computing. According to Gartner’s report, the cloud-native apps that serve around 40% of new digital initiatives, currently, will be risen to 95% by 2025. The reason behind this is that these platforms will reduce dependencies on infrastructure and frees up time to focus on application functionality instead.

Composable applications will be reaching a new height, as they are made up of packaged business capabilities or software-defined objects. They will reduce the creation time for fusion teams that lacks coding skills. The design mantra for new SaaS and custom applications will be composable API first or API only by 2024, rendering the traditional SaaS and other applications as legacies.

Privacy Enhanced Computation

The real value of data exists in how it is used for analytics, modeling, insight generation, and combination with artificial intelligence systems. The use of data also generates concerns over privacy and security. Privacy Enhanced Computation allows data to be shared across ecosystems, creating value by preserving privacy. The approaches include encrypting, splitting, or preprocessing sensitive data without compromising confidentiality. By 2025, 60% of large organizations will use one or more privacy-enhanced computation techniques in analytics, business intelligence, and cloud computing.

A Cyber Security Mesh architecture will provide a composable approach to secure the data, based on identity to create scalable and interoperable services. The common integrated structure will secure all assets. According to Gartner, organizations that adopt privacy-enhanced computing along with cyber security mesh as a co-operating ecosystem will reduce the financial impact of individual security incidents by an average of 90%.

Distributed Enterprises with Total-Experiences

The value of data will bring about distributed enterprise architecture that is a virtual first and remote first approach to digitize consumer touchpoints and build out experiences to support products. Organizations that exploit this architecture approach will realize revenue growth 25% faster than before by providing total experiences to their customer. The total experience is the unification of customer experience, user experience, employee experience, and multi-experience. According to Gartner, by 2026, 60% of large organizations will transform their business models to the total experience, to achieve world-class customer and employee advocacy levels. The goal is to bring a more holistic overall experience for all customers and stakeholders.

Hyper-automation and Autonomic Systems

Post pandemic, we have seen the uprising of the automated system, and businesses eagerly adopting automated solutions with the added advantage to function remotely. It has changed into a business-driven approach to identify, vet, and automate as many business processes using multiple tools like Process mining tools, RPH, and low-code to no-code. By 2024, this trend will evolve into a hyper-automation system that will drive the total cost of ownership 40 folds and make adaptive governance a differentiating factor in corporate performance.

Autonomic Systems are self-managing systems that learn from their environments and dynamically modify their algorithms with less requirement for software updates. With these systems in place, businesses can ensure rapid responses to change and effectively manage complex environments with ease. Ericsson uses its autonomic system to manage thousands of cellular phone masts in complex environments. The system uses reinforcement learning and digital twins to dynamically optimize 5G network performance. By 2024, 20% of organizations selling autonomic systems or devices will require customers to waive indemnity provisions related to the learned behavior of their products.

Reference:
Gartner Top Strategic Technology Trends for 2022
Salesforce Small and Medium Business Trends Report 2022
Solactive future trends report 2022
Predicts 2022: No Time to Look Back — A Gartner Trend Insight Report