Optim IT Solutions

25/12/2022

25/04/2022

Bill Gates once said "the first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency"

It is inevitable that you need to map your current situation rather than introducing many technologies to your business.

Few questions you need to ask yourself;

1. Are you running a smooth business operation?
2. What are the current business challenges in your business operation?
3. What is the ripple effect of these business challenges?

Understanding the why is important before we recommend any technologies.

It's mandatory to figure out your current tech landscape rather than introducing many technologies.

16/08/2021

RPA is a journey... Its not a milestone achievement for a company.

In this journey you might be contemplating what to achieve in the next financial year.

Keen to hear your thoughts with given unprecendented times.

What do you wanna achieve for FY2022?

01/07/2021

Prescriptive analytics provides organizations with recommendations around optimal actions to achieve business objectives such as customer service, profits and operational efficiency. Prescriptive analytics solutions use optimization technology to solve complex decisions with millions of decision variables, constraints and tradeoffs. Organizations across industries are using prescriptive analytics for a range of use cases spanning strategic planning, operational and tactical activities. Benefits include

Improved operations - Optimize product planning, reduce inefficiencies, drive smarter operational decision-making.

Efficient use and management of resources - Better utilize: capital, personnel, equipment, vehicles and facilities.

Mitigation of risks - Gain insight into how decisions can have business-wide impacts and hedge against data uncertainty.

28/06/2021

Adapting to increasingly digital market environments and taking advantage of digital technologies to improve operations are important goals for nearly every contemporary business. Yet, few companies appear to be making the fundamental changes their leaders believe are necessary to achieve these goals.

Some of the key practices of companies that are developing into more mature digital organizations are highlighted below . Their approaches, offer valuable lessons for companies that want to improve their own digital efforts, include:

- Implementing systemic changes in how they organise and develop workforces, spur workplace innovation, and cultivate digitally minded cultures and experiences.

- Creating a culture of change, learning and growth

- Encourage continuing education

- Having longer strategic plans focusing on both technology and core business capabilities.

- Measure and optimize

- Becoming a talent magnet

Routine can still be a comfortable cushion for your employees, make sure there’s also room for innovation and technological growth. When everyone feels like part of the update, the change will be for the better.

25/06/2021

If there’s one thing that everyone can agree on, it’s that making technology decisions is a lot of work. We would rather not have to make the same difficult decisions again and again into perpetuity, just because the technology changes. But that’s what happens when you apply a solution to a single problem instance repetitively until your automation portfolio looks more like a better business registry of platform providers.

Process automation is too often seen as the goal, but process automation isn’t digital transformation. It’s a prerequisite to digital transformation you need to automate to take the first step.

With end-to-end low-code application development platforms, intelligent automation with AI and ML embedded solutions is just the beginning. IT and the business collaboratively building applications that iterate on automation will become the standard. Cross-channel applications and process improvements that leverage modern technologies are achievable within the same platform.

16/06/2021

As the industry continues to pursue the reduction of downtimes and increases in the efficiency of resource usage, data appears as a valuable business asset, empowering intelligent automation solutions.

The traditional automation pyramid does not cope with today’s application requirements, as intelligent automation needs to exchange, in realtime, information with all layers of the pyramid, simultaneously. The middleware for intelligent automation provides interoperability through integration software along with cloud functionalities and big data warehousing. The middleware also provides decentralization by connecting to remote decision support systems.

To extend the horizons of business process automation by an order of magnitude, Intelligent Automation combines the task ex*****on of RPA with the machine learning and analysis capabilities of automatic process discovery and process analytics as well as cognitive technologies.

07/06/2021

Although cloud services can drive cost savings, their main value lies in supporting a fast-moving digital business transformation. Every technology management organisation runs under two agendas: the IT agenda and the business transformation agenda. Typically, the IT agenda has been focused on saving money. However, digital business transformation agendas are focused on investments to make money.

The primary benefit of a hybrid cloud is agility. The need to adapt and change direction quickly is a core principle of a digital business. Your enterprise might want or need to combine public clouds, private clouds, and on-premises resources to gain the agility it needs for a competitive advantage.

Hybrid clouds offer the benefits of both public and private clouds and take advantage of existing architecture in a data center. The hybrid approach allows applications and components to interoperate across boundaries, between cloud instances, and even between architectures.

25/05/2021

Application modernization enables an organization to protect its investments and refresh its software portfolio to take advantage of contemporary infrastructure, tools, languages and other technology progress. A robust application modernization strategy can reduce the resources required to run an application, increase the frequency and reliability of deployments, and improve uptime and resiliency, among other benefits. As a result, an application modernization plan is a common feature of an enterprise’s overall digital transformation strategy.

18/05/2021

Truly transformative businesses know that innovation must be ongoing. To succeed in our digitalised world, businesses must always remain two steps ahead. Only those who can evolve, and fast, will be able to keep up with technical developments and ever more challenging consumer demands.

End-to-end solutions adhere to a philosophy that eliminates as many middle layers or steps as possible, which helps to optimize the performance and efficiency of a business. It is most commonly used in the information technology sector.

KEY INSIGHTS

- End-to-end refers to delivering complex systems or services in functional form after developing it from beginning to end.
- End-to-end is most common in the IT sector.
- End-to-end processing can help optimize a business's performance and efficiency by eliminating the middle man.
- When dealing with complex services or systems, end-to-end arrangements are often cost-effective.
- Logistics, when service providers take care of inventory management, storage, and distribution, is an example of end-to-end in industries outside of IT.

14/05/2021

Computer vision is a branch of artificial intelligence that enables machines to detect, identify, and label objects. Computer vision machines can also identify characteristics of objects, like size, texture, color, and spatial arrangement. They can identify the age, gender, and cultural heritage of human beings, count them, detect their mood and sentiments.

Any computer vision system is trained on millions of images that have been already labeled with names, characteristics, and descriptions. Using deep learning algorithms and neural networks, these systems learn to “see” objects.

Computer vision has found use in various industries like retail, healthcare, manufacturing, automobiles, education, etc. Using images generated by the citizens as a training dataset has inherent privacy and security issues because they make the people and their personal data identifiable.

It is important for those using computer vision systems to understand this and implement security as a strategy right from ex*****on two deployment. There needs to be continued governance and regulatory compliance to ensure that these data are being used ethically.