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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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  • AI split by functional use cases

AI split by functional use cases

by Alex Antonatos
on 23 February 2020

What everyone in the world is calling AI today will specialize into several functional areas in the next years. The main areas will be : Robotic Process Automation (RPA); automated engineering and selection; perception AI, which is the automation and refinement of physical perception; and resource allocation AI.

RPA is becoming more popular most companies are starting to utilize it for their customer service ex: for quick responses, here is a use case example of RPA from Lyft:

RPALyft 

Other good RPA use cases , are automated invoice processing, sales order, payroll, price comparison, storing customer information.

The next big thing is feature engineering and its broken down in these 4 areas:

fedata

Feature engineering is about understanding your company data and to enable, the performance of a predictive model that is heavily dependent on the quality of the features in the dataset used to train that model. If you are able to create new features which help in providing more information to the model about the target variable, it’s performance will go up. As most corporations, don’t have enough quality features in their dataset, they will  lean on feature engineering.  There are few certainties in data science: libraries, tools, and algorithms constantly change as better methods are developed. However, one trend that is not going away is the move towards increased levels of automation. AI in general is here to stay.

Perception AI is quickly advancing and the most visible to all within the transportation industry, with self lerning driving cars and trucks.

Resource allocation AI is the overview efficiency and effectiveness of an entire organization depends greatly on how well its resources are being utilized. Resources may include personnel, equipment, vehicles, space, warehouses, etc- still in its infancy, but a hot topic of ethics  ex: How do we distribute the wealth created by machines? Some ethical questions are about mitigating suffering, some about risking negative outcomes. While we consider these risks, we should also keep in mind that, on the whole, this technological progress means better lives for everyone. Artificial intelligence has vast potential, and its responsible implementation is up to us.

What I do know for sure is that having an understanding of AI is going to become more important for more professions. We are living through the data explosion era, AI is the missing piece of the jigsaw.

 

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