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        Flexibility is the biggest selling point that we have over our larger rivals. We give our clients the freedom needed to thrive in today’s fast-paced business world, organisations say to us that they often see higher quality work from independent consultants like us, this reason is the primary motivator when choosing us over a big firm. This means that we have the same skills and experience as the big firms, with added freedom and flexibility to let us focus and resolve client requirements.

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        Will AI replace jobs

        The AI language model, has to be viewed as the internet in the 1990s and the mobile in the 2000s but I can tell you that AI has the potential to automate some of the work that is currently done by people. It's crucial to remember nevertheless that not all jobs are equally vulnerable to automation. Most jobs will have it as an assistant.

        There are some jobs that are less likely to be mechanised in the near future, such as those that demand creativity, critical thinking, emotional intelligence, and interpersonal skills.Yet, positions that require manual work, data processing, and repetitive operations are more likely to be mechanised.

        It's also crucial to remember that while AI can automate some tasks, it cannot take the place of human abilities and traits like empathy, adaptability, and decision-making that are crucial in many professions. Jobs in complex decision-making, problem-solving, and communication skills are required for these positions, which are challenging for computers to mimic and wont be able to be automated. For most the answer is NO, AI wont replace your job.

        2023 - 5 trends with financial institutions

         

        In 2023, if i had a crystal ball, I believe the following trends will become main themes within north american financial institutions:

        1. Increase mobile banking capabilities: Banks should continue to invest in technologies to improve the customer experience on mobile devices. This could include new payment systems, improved security measures and customised experiences for each customer.

        2. Develop AI-driven solutions: Banks can use artificial intelligence to automate mundane tasks and provide more personalised customer service. AI can also be used to detect fraud, improve customer experience, and even predict customer behaviour.

        3. Leverage blockchain technology: Blockchain technology can help banks reduce costs, increase efficiency, and improve security. Banks can use it to develop new services, such as digital asset management, and establish distributed networks to streamline processes.

        4. Introduce open banking: Open banking allows customers to securely share their financial data with third-party providers, such as financial advisors, lenders, and insurers. Banks should look to partner with these organisations to provide more personalised services to their customers.

        5. Utilise digital currencies: Digital currencies are becoming increasingly popular, and banks should look to leverage this technology to offer a more convenient way to send and receive payments. Banks should also look to develop their own digital currencies, and explore the potential of using them to facilitate international payments.

        This will be my last post of the year, Merry Christmas to all and wish everyone a 2023 filled with happiness, health and success.

        7 habits to transform your life

        On this friday evening, sharing some habits that have helped me improve in 2022:

        1.Get up the same time every day

        2.Set realistic goals for the day

        3. No caffeine , coffee or tea past lunch

        4.Plan by writing things with pen and paper

        5.Evening brain dump use your phone voice recorder (Time box it to 1-2 min)

        6. Challenge yourself to do something new 

        7.Time block your activites

         

         

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        Business & Technology Consulting

        We offer clients specialised consulting in areas that we deeply understand. Our services include:

        • - Skills To Envision, Design And Develop Enterprise Apps
        • - Talent For SaaS/PaaS/IaaS In The Cloud
        • - API Architecture
        • - Data Science Talent
        • - ALM deployments – Agile/Devops
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  • Message processing vs stream processing architecture

Message processing vs stream processing architecture

by Alex Antonatos
on 03 September 2019

 

  • A quick simple diagram differentiation between message processing and stream processing architecture.

  • The stream processing pattern bears many similarities to the message processing pattern that you are familiar with, but in stream processing, the processor looks at one or more streams as a whole, rather than at discrete messages

  • Streams are aggregated, combined and filtered to observe patterns and enrich data. The output of a stream processor is itself a stream, which may consist of filtered or mapped data or events.

mpa

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