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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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        Executives stop ignoring blockchain

        Blockchain has already started to revolutionize ways of doing business, but even CIOs aren’t totally on board, let alone the rest of the executive leadership team, in my opinion this is a huge mistake. You must start experimenting with one of your business processes.

        Startups and leading digital enterprises are nevertheless deploying blockchain to solve problems and create value that conventional, centralized technologies and processes can’t. On example, the cryptocurrency market is now worth around $2 trillion, and nation states and public and private companies own nearly $100 billion of Bitcoin alone.

        A tangible example is a local Montreal company called Shakepay,  a technology company that provides financial applications for building wealth. Canadians from all walks of life — college students to retirees — use Shakepay to connect with the digital economy built on the Internet.They started in 2015, and have had exponential growth, their successful business model has constantly been to create value for its customers . Scalability is how theyre business model expanded without increasing costs to the same extent. Software business models are naturally easier to scale than those based on physical values. The direct marketing approach is excellent , easiest way to buy digital assets using interac transfer and have a good customer service,  they give you a 30$ free bitcoin on first purchase of 100$ or more. 

        Here is the link if your interested and you will get $30 of free bitcoin on your first purchase:  https://shakepay.me/r/ZZPBYOK

        Im suspecting the finance industry is racing to catch up to these startups. Pension funds, insurance, banking want to compete in this new world and profit from it. Their approach will be two-pronged: experimenting with cryptocurrency offerings and lobbying regulators to create rules to officialize the space.

        I am so confident that assets will move to the blockchain because of the efficiencies and enhancements are just too substantial to be ignored even by large corporations like pension funds, banking and insurance as a way to retire in the long run their legacy systems.

        If interested to learn more some free Harvard courses that explain the different concepts of blockchain: http://tech.seas.harvard.edu/free-blockchain

         

         

        Be ready, 2022, will go faster & 4 measurable predictions

        Whether we like it or not, the world is rapidly moving into a technological era, and at an increasing pace. This is essentially changing how businesses are being operated and ultimately, how value is added for customers. In the past, digital transformation was a long process that often took years to achieve for companies due to the many complexities involved. However, nowadays, the shift can be made in a matter of months. This is the acceleration aspect of digital transformation.

        Here is some food for thought, These things or companies didnt exist on Christmas 20 years ago:

        1. IPhone
        2. Facebook
        3. Youtube
        4. Instagram
        5. Twitter
        6. Android
        7. Bitcoin
        8. TikTok
        9. Tesla
        10. Ipad
        11. Google map
        12. Netflix streaming
        13. Amazon Prime
        14. SpaceX
        15. Slack
        16. Skype
        17. Whatsapp
        18. AirBnb
        19. Uber
        20. Linkedin

        This digital transformation has become inevitable for all businesses, but the real question if you dont do anything about it and evolve, you will become extinct. These 20 companies or solutions disrupted and extincted many large cap companies.

        Embrace 2022, we’re entering a time period of exponential rapid change. 

        4 predictions for 2022

        1- To curb emissions and the pandemic showed that it wasn’t necessary to go into the office to be productive , Remote work will rule.

        2- Instead of  Zoom or Team calls, you will interact with coworkers and clients in a virtual environment  that feels real. The metaverse will offer new, exciting opportunities to people. It will be an enhanced work-from-home experience that makes you feel part of the team and not isolated alone in your apartment or home.

        3- Blockchain and crypto will go mainstream and companies will begin to embrace the integration with their legacy offerings. Cryptocurrency will be renamed digital assets.

        4- NFTs — digital tokens that represent ownership of assets and can be traded on blockchain exchanges — will start infiltrating the mortgage market, this will shake up our understanding and comprehension of home ownership.

        Wish all my readers a great 2022, filled with health, happiness and success.

         

         

         

         

         

         

        Integrating blockchain with existing solutions

        The past 6 months, receiving lots of requests for incorporating blockchain within existing corporate solutions.

        Here are some tips for companies starting their journey with blockchain.

        The core principle of Blockchain is to keep records transparent and information tamper-proof.

        When defining your issue you want to resolve make sure you grasp your actual internal use case. 

        As an organization, you need to define the specific problem you are trying to solve within that use case. Then you must determine which transactions or interactions the blockchain should capture and who should have access to which portions.

        Quick list of key questions to ask:

        What are you trying to do

        What value do you want to capture

        For Whom

        Record

        Information and Knowledge

        Customers

        Track

        Attribution and Responsibility

        Suppliers

        Verify

        Decision rights and votes

        Investors

        Aggregate

        Contracts and Transactions

        Government and citizens

      • What we offer

        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
        Read more
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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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