Five digital transformation technologies that are making an impact

The pandemic has accelerated the digital shift and its required innovation due to significant market dynamics and changing consumer needs. Forward-looking companies have focused on being able to shift gears and adapt to change while minimizing the impact on internal employees and external consumers. Due to the effort and time required, one of the main challenges is adapting to new technologies and changing societal sentiment. Let’s take a look at what’s leading digital transformation right now.

Cloud-native design as an enabler of innovation

How are you using the cloud as an enabler of flexibility, speed, agility, and resilience? Companies must start with the desired business outcome. Leverage the cloud-native approach as a source of transformational value instead of increasing IT productivity. Cloud-native technology and design enable technology leaders to restructure, reinvent and revamp their portfolios to deliver sustainable competitive advantage. Cloud-native development enables a technology team to rapidly build and update applications while improving quality and reducing risk to scalability, reliability, and stability across public, private, or hybrid multi-clouds.

Building responsible governance of artificial intelligence

How to build trust in artificial intelligence (AI) with technologists and society? Responsible AI is a principle of designing and building ethical systems with human responsibility to ensure these systems impact customers, users, and employees equitably to build trust. According to Gartner, “By 2023, all personnel hired for AI development and training will be required to demonstrate responsible AI expertise.”

What can you do with your initiatives to create responsible AI governance?

  • Build AI as a production quality system from scratch, as opposed to a quickly implemented proof of concept to ensure reliability and security.
  • Create ethical oversight and governance, making people accountable for AI.
  • Control AI to only work on the intended use case and be understandable to humans.
  • Design to be inclusive and treat all people fairly.
  • Please plan to be thorough in security, privacy, reliability and security.

Machine learning is real

Machine learning is a subset of AI that uses algorithms and data to emulate the way humans learn while adjusting moderately to improve its accuracy over time. Machine learning provides efficiencies that reduce manual inspection and yield better predictions than if you weren’t using it. The usefulness of machine learning has gotten to the point where C-level leaders are being asked about their plans to harness it within the business.

Here are some key questions you should ask in order to assess whether adopting machine learning makes sense for your business:

  • What are the most important objectives to be achieved within the framework of the project? Staff savings or manual effort reduction? Employee engagement by focusing on higher value activities? A competitive advantage through process automation?
  • What is the estimated economic value or importance of a successful project to your business?
  • How detrimental are the consequences of errors or failures in machine learning algorithms?
  • What type of data and how much should be analyzed?
  • What type of output should the model generate?
  • How would you measure the performance and quality of the machine learning workflow?
  • What expertise do I need to take advantage of its use and meet the challenges?

Enable speed and agility in cybersecurity initiatives

How can security be a catalyst for speed and growth? According to Gartner, “by 2025, 40% of boards will have a dedicated cybersecurity committee.” Many technical organizations believe they have a good technical grasp of security concepts, but governance slows down initiatives. There are a few tweaks you can make to increase the speed and strength of your cyber initiatives.

The first is to extend responsibility for security from a dedicated team to all members of the technology organization. Empower software developers to drive security and compliance into code through education, training, and working closely with security experts to address security issues before they arise in production. The second is to apply developer concepts to security rather than compliance monitoring. Integrate DevSecOps patterns so that security is an essential part of your agile product process rather than a door at the end. This approach can help embed “security-as-code” policies and standards throughout the design and architecture.

Leverage hyper-automation to improve business results

How can you leverage hyperautomation to maximize customer success and business productivity? The hyperautomation approach is designed to help organizations automate as many technology and business processes as possible. Hyperautomation is more than just a goal of reducing costs and employee effort. The goals of automation are to reduce employee productivity inefficiencies and technology debt to create speed and agility in the business.

Business agility is achieved through the use of technology and cultural change. Focus on how to eliminate or reduce inefficient processes and technology. Investments in hyperautomation allow employees to focus on higher value work and respond to customer demand faster and with more flexibility as the business evolves. The integration of automation technology makes data more accessible and improves internal and external communication through simplified processes.

Conclusion

Business and technology leaders face many choices about what to incorporate into their digital transformation strategy and plans. Market and customer dynamics are changing due to 24/7 digital demands, with consumers and employees demanding ease of use and responsiveness to their needs. The technology concepts we have discussed can help you change your organization’s operating model. Focus on long-term value for employees and customers versus short-term cost as critical elements in your decision making and choice selection. An experienced advisor can help you make the right choices for your business to create an accelerated roadmap and set you on the path to success.

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