Category: Technology

  • Insights & Opportunities in an AI World

    Insights & Opportunities in an AI World

    There has never been more data around us: according to Deloitte, global data volumes will reach as much as 175 zettabytes by 2025. This means there has never been a greater opportunity for data science insights. Within these insights lie the chance for businesses to gain a competitive edge, improve their customer experiences, and drive new efficiencies in their operations.

    This blog highlights the current state of play in data science and analytics, and how you can take full advantage. We’ll explore why data science and big data can’t be treated the same, why many data scientists are under pressure to deliver on expectations, and how technology is helping Ciklum connect clients to the data science insights they’re looking for.

    Data Science and Big Data – are they the same?

    Not quite – there are some subtle differences between data science and Big Data, and it’s important to make the distinction between them because the two are often conflated and confused.

    Data science is the practice of analyzing data to gain valuable business insights. It brings together math, statistics, computing power, engineering and even AI to find answers to questions and patterns in information. Big Data, on the other hand, refers to the large, complex data collections that are normally so big that normal data processing software is unable to reasonably handle them.

    Both approaches will bring together data from many different sources, and will combine data that is fully structured, partially structured or completely unstructured. Big Data, however, generally involves raw data that has not been aggregated, and involves analytical approaches that are mainly focused on volume, quantity and ‘getting through it all’. Data science, on the other hand, goes into the content of that data in much more detail.

    What is a data scientist?

    A data scientist is a person who collects, analyzes and derives findings from data, so that their organization can make informed, data-driven decisions. These people will normally be experienced in analytics, and able to deploy the very latest and most advanced in analytics techniques, including machine learning, predictive analytics and more.

    The Data Science and Big Data Experts at Ciklum are an excellent example of the kind of work that a good data science team does, uncovering new business opportunities by identifying hidden patterns in data. They can rapidly set up data analytics tools that are aligned with clients’ business goals, so that they can micro-segment their markets, customize products, and transform raw technical data into clear information for making key decisions.

    What are the issues facing data scientists today?

    Like many areas of technology related to analytics and AI, data science is an area that’s moving and evolving all the time. This means data scientists are constantly having to update their knowledge in order to keep up with the latest trends, as well as deal with these current challenges:

    • Data preparation: For data science insights to be worthwhile, data has to be properly prepared in advance, and that means collecting, cleaning and organizing that data. This is one of the most time-consuming and repetitive parts of a data scientist’s job, and so can be prone to human error
    • Multiple-source data generation: Some experts believe that up to 90% of data science work is data cleaning. This means that generating and collating data from a wide range of different sources, and in a variety of different formats, can be laborious for a data scientist
    • Identifying business issues: Data science is largely pointless if it isn’t executed in the context of a specific business need or problem. Data scientists must discover and evaluate what those demands are, and design data science to address them – not the other way around
    • Communicating results: Data science is an advanced concept, and many key decision-makers in senior management may not be up to speed with how it works. A key part of a data scientist’s work is to communicate results of analysis in forms that everyone can understand
    • Security: By the end of 2023, the cost to the global economy of cyber attacks is expected to pass $10.5 trillion. The threat of cybercrime is rising all the time, as is the scope of regulations around cybersecurity and data protection. This has complicated matters for data scientists, who are now expected to take measures to keep data safe throughout their processes, including encryption and machine learning-based protections
    • Collaboration: Data scientists rarely work autonomously – good processes will also incorporate data engineers to ensure the technology in place runs as it should. Close collaboration between both parties is key to ensure that workflows remain aligned throughout

    Closing the gap to meet the demand for data science & AI

    The good news is that many of the challenges above are being addressed by automation and AI. Indeed, the relationship between Artificial Intelligence and data science is relieving much of the administrative pressure and workload on data scientists that are already in high demand.

    Many of those repetitive, time-consuming tasks in the data science and analytics process can be taken care of by automation and Artificial Intelligence: collecting and collating data from diverse sources, and preparing them for analysis. Combining data science and Artificial Intelligence will result in a process that is faster, more efficient, more cost-effective, more insightful and less vulnerable to human error.

    In summary: how Ciklum is paving the way for data scientists

    Over the years, Ciklum has worked tirelessly to advance the concept of efficient data science; to expand the use of automation and AI for this purpose; and to help meet global demand for skilled data scientists. 

    For example, we have run the DataminDS programme that helps develop new data science talent, through online and in-person educational courses and platforms, as well as internships inside Ciklum that have helped people progress. We have also provided scholarships at Masters level for a specialization in Data Science at the Ukrainian Catholic University, which has opened more doors for aspiring data engineers to become part of the Ciklum team.

    It’s by promoting talent like this that we stand out as one of the leading enablers of data science insights for businesses just like yours. Get in touch with our team today to find out more on how we can help you, and help you address your biggest data science challenges.

  • The Future of Technology in 50 Years to Come

    The Future of Technology in 50 Years to Come

    Trying to predict the future can be risky. Get it wrong, then your predictions come across as silly and far-fetched. Some good examples of this include meals in pill form, flying cars (we’re getting close though), and teleportation.

    Get it right, though, and you could be seen as an innovator ahead of your time. A good example is Arthur C. Clarke, who, in his 1968 novel 2001: A Space Odyssey, accurately predicted the concept of the computer tablet with the fictional News Pad device.

    With that being said, even if not all predictions are correct, there’s still value in fantasizing about the future. In fact, research has shown that thinking about the future helps us lead more generous and fulfilled lives, as it gives people something to look forward to and a sense of meaning.

    This logic also applies to technology. It’s important to think about where technology is today, how it will change in the future, what it will replace, and the kind of role it will play in helping us live our lives. Why? Because it enables us to focus our efforts on making technological advancements that will vastly increase human capability and help shape a better tomorrow.

    Have you ever wondered about the picture of technology in 50 years to come? Let’s take a look at some of the most promising technological advancements on the horizon.

    #1. Self-driving Cars

    Self-driving cars have the potential to take us where we need to go without us ever having to set foot on the pedal. The advent of autonomous vehicles is no longer a new concept, but we’re not quite there yet due to various limitations in technological advancements.

    The gap between manual and automatic driving is closing. You can buy cars that automatically brake when they predict a collision, have built-in cameras that monitor the driver for signs of fatigue, drowsiness or distractions, and keep you in the center of a highway lane. Specific examples for the highest level of automation available to consumers are systems such as GM’s Super Cruise, Ford Motor, Co.’s BlueCruise and Tesla’s with automated operating systems under certain conditions.

    With big players – Tesla, Waymo, Ford, General Motors, and more – investing in the autonomous-related technology, the rise in competition in the future is inevitable and pushes the growth potential of automotive industries to the maximum level.

    How long until autonomous cars become standard to redefine transportation systems? It’s hard to say, but most experts think full automation is possible within the next ten years. Of course, this depends on advancements in technology, government regulations, safety and ethical concerns, and public perception. It is worth noting that the transition to autonomous vehicles is a long journey, with varying levels of automation being introduced incrementally to lead to the final result.

    #2. Greater Involvement from Robots

    These days, robots can only perform a certain amount of tasks. They don’t really look or talk convincingly enough to pass off as human. And they tend to fall over a lot.

    However, as digital life lays a foundation for limitless possibilities, things could be different in the future. According to Blake Hannaford, a professor of Robots, Controls, and Biosystems at the University of Washington, robots could ‘free up people’s brains’ to perform other, more complex tasks.

    If true, you can expect to see more jobs become automated (where employees help the robot perform a specific task or work together with one) or simply disappear. This could mean up to 120 million workers will need retraining in order to be employable again.

    On the plus side, we could use robots to perform tasks that are too dangerous for us. For instance, instead of putting the lives of rescue workers at risk, they can instead dispatch all-terrain robots to collect and return people back to safety. In a more distant future, some predictions even suggest that the U.S. Congress will be supported by a dynamic network model accounting for the concerns of citizens yet bound by established laws and resource constraints.

    While a world full of robots capable of completely replacing humans may seem like a distant future when many unsolved issues such as ethical considerations, societal acceptance, and regulatory frameworks still exist, the evolution of technology like hybrid human networked intelligence has the potential to push the robotic industry to its boundaries. By combining human intelligence and artificial intelligence, humans create a synergistic system that leverages the strengths of both humans and machines.

    #3. Personalized Technological Experiences

    Companies like Amazon, Google, and Facebook already collect your private data to personalize the shopping experience.

    Thanks to advancements in predictive AI, technology will get better at knowing what you want. By automatically analyzing vast user datasets, including your viewing and purchase history, providers can predict your unique habits and then anticipate your next move by sending you product recommendations, further enhancing engagement and satisfaction.

    Immersive virtual and augmented reality environments will also play a significant role in offering customers personalized experiences. Imagine browsing Ikea and then seeing what that new couch will look like in your living room before you buy it. With the advent of VR web browsing, companies will soon be able to blur the lines between physical and digital realms and provide a more genuine, authentic, and engaging experience in digital life.

    #4. Beyond 5G

    5G is just around the corner. However, researchers are already exploring the possibilities of 6G and beyond.

    While 5G aims to deliver increased speed, low latency, and more seamless connectivity between devices – i.e. self-driving cars and drones –, experts are already quick to point out its limitations.

    For starters, 5G frequency waves can only travel a short distance and cannot penetrate buildings, trees, power lines, or other structures. This severely limits the potential reach of the 5G network. Secondly, 5G drains the batteries on phones and other devices faster than 4G.

    According to experts, the next generation, 6G with expanded Internet access, will likely be powerful enough to give rise to emerging technologies like tactile internet, holographic communications, and machine-type communications.

    Furthermore, there are predictions that the likes of 6G and beyond could deliver incredible speeds of 1TB per second, or 8,000 gigabits per second. As a reference, that means you could download around 142 hours’ worth of Netflix movies in just one second.

    #5. Body Implants

    Wearable devices like smartwatches, wristbands, and earbuds are all highly practical and, in some cases, fashionable. In the near-future, you can expect to see a transition to more ‘penetrative’ technology, such as microchipping, augmentations, and various other implants.

    Sound far-fetched? You can already get a microchip in your arm to perform cashless payments in stores and at ATMs. Famous model Viktoria Modesta underwent leg amputation at the age of 20 to have her damaged leg replaced with an artificial one. She says the leg not only frees her of pain and discomfort and allows her to live a normal life, but she also uses the prosthetic leg as a memorable fashion statement.

    With examples like this, we can expect to see wider adoption of prosthetics and brain-computer interfaces in the future and a wider variety of designs, colors, and concepts to better suit one’s taste, style, and accessibility needs. It could open up a whole new untapped market in the beauty and sports industry and beyond.

    #6. Emerging Smart Cities

    Smart cities are no longer a new concept, as this development model has appeared in most countries in recent years.

    What makes a city smart? Basically, smart cities are urban models that apply advanced technologies and large amounts of data to reduce daily inefficiency and optimize city functions, thereby enhancing living standards. Although the core purpose of this smart living model has remained the same over time, the increasing demand for quality of life has made expectations for smart cities increasingly high.

    If, at the present time, smart cities that serve human needs well are barely urban landscapes that prioritize IoT sensors, sustainability initiatives, high-speed connectivity, and smart traffic management systems, Smart cities in the future of the next 50 years are expected to integrate a number of other advanced technologies for efficiency enhancement.

    Fully autonomous vehicles and drones will transform urban mobility and reshape the transportation network with unsurpassed levels of safety and intelligence. Augmented reality technology will be widely used to visualize and test urban design concepts in real-time before official deployment. Artificial intelligence and predictive analytics will play a more vital role in services personalization and weather prediction of the natural world, improving quality of life for residents as a whole.

    #7. Biotechnological Breakthrough in Healthcare

    Have you ever thought about a scenario where doctors predicted your heart attack before you had it? Biotechnology solutions have long been evaluated as the future technology for promoting human health and innovation in all segments.

    As the volume of data coming from diverse sources such as life-style information and electronic health records increases (so called “big data”), the rosy picture of further opportunities for biotechnology becomes more apparent. What is more, this biological big data, coupled with continuous innovations in genetic engineering, molecular biology, and bioinformatics, is also expanding the capabilities of biotechnology 50 years later.

    Ben Shneiderman, distinguished professor and founder of the Human Computer Interaction Lab at the University of Maryland, said, “Medical systems that collect patient data will give richer portraits of individual health as well as data to develop new treatment protocols.”

    By using artificial intelligence and big data analytics tools, hospitals can completely turn raw data into actionable insights used for patient diagnosis and treatment.

    #8. Decentralized Finance (DeFi) Platforms

    Blockchain-based DeFi platforms could revolutionize traditional banking services by offering financial activities, including lending, borrowing, and trading options, without the help of intermediaries.

    At present, these types of decentralized platforms are actively operating within the cryptocurrency and blockchain ecosystem. However, many concerns surrounding blockchain technology’s security and legal issues still exist, causing DeFi not truly to maximize its development potential.

    Predicting the exact future of blockchain-based Decentralized Finance (DeFi) platforms 50 years from now is inherently challenging due to the changing nature of technology and the complex interplay of various factors shaping the future of finance. However, one thing we can confirm is that DeFi platforms, along with blockchain technology, will become more mature in the next 50 years.

    Besides layer 2 solutions and cross-chain interoperability, which can enhance the scalability and efficiency of DeFi platforms, we expect continuous innovation in smart contract development that will be able to form more sophisticated and secure DeFi protocols. The constantly evolving blockchain algorithm is the foundation for eliminating uncertainties and doubts about this technology.

    Once regulatory clarity and frameworks for DeFi are formed, the time where DeFi platforms become more integrated into the mainstream financial ecosystem, even extending beyond finance to appear in other sectors like healthcare will be in the not too distant future.

    The Bright Future Is in Our Hands

    Technology moves at an incredibly fast pace. What is popular today may be obsolete in just a few years. What was once thought impossible could become standard in less than a decade.

    For this reason, it’s hard to know whether these predictions will come true. But it’ll be interesting to see how these ideas manifest in the years to come. Regardless of the technology scenario in 50 years, we believe that the rapid changes and developments of technological advancements are all aimed at a single ultimate goal: improving human existence and making the digital and physical worlds better.

    It is worth noting that perfection is a far-reaching concept at all times. It cannot be denied that the future promises many positive outcomes. However, existing alongside new opportunities is a potential challenge. As humans willingly trade discretion in increasingly ubiquitous digital systems for improved quality of life, personal privacy has the potential to become a distant memory.

    In the era of internet-enabled technology, indirect interaction through social networking platforms and communication tools unintentionally creates many security holes. If you do not nurture and maintain unmediated human relationships but rely on mostly unregulated internet, plus commercial impetus remains dominant, and international regulation remains weak, people giving away their data for convenience access has the potential to cause dangerous disruptions across society.

    For the time being, what we can do is monitor the development of technology, watch the market trends, and listen to the experts who are involved in their development to protect personal information and minimize cybersecurity attacks.

    You don’t have to be a scientist to contribute to a bright picture of our future’s physical and digital worlds. Instead, integrating the latest technologies in software projects is a viable way to create value across various industries and domains. What changes do you anticipate in the digital world’s platform companies? If you have an innovative business idea that cannot wait to be put into action, connect with our experts at Orient Software and learn how we can help.

  • AI-Enabled Technology & Managed Services

    AI-Enabled Technology & Managed Services

    Business leaders today face a fundamental question – How can they achieve operational excellence while keeping IT resilient, secure, and cost-efficient in an era of relentless technological change? Traditional IT approaches, including outdated managed service providers (MSPs), struggle to meet the growing demands of modern enterprises. Rising cybersecurity threats, growing IT complexity, and the need for seamless scalability demand a fundamentally different approach—one that AI-enabled Managed Services can deliver.

    Rather than relying on reactive IT models, AI-enabled Managed Services transform operations with self-healing IT ecosystems, predictive security frameworks, and autonomous service management. Read this blog to discover how AI-enabled Managed Services can help optimize IT performance, strengthen cybersecurity, and future-proof your business operations.

    Three Pillars of AI-enabled Managed Services for Operational Excellence

    To remain competitive, businesses must evolve their IT operations beyond traditional models. AI-enabled Managed Services provide the intelligence needed to address modern challenges, focusing on three critical areas: Automation, Security, and Scalability—each essential for achieving operational excellence.

    1. Proactive IT: Automate and Prevent Failures

    Traditional IT service management is often reactive, requiring human intervention for troubleshooting, performance monitoring, and IT incident resolution. AI-enabled Managed Services eliminate this inefficiency by making IT operations predictive, proactive, and autonomous.

    • IT Automation: AI-powered self-healing systems automatically resolve IT issues before they impact business operations.
    • Predictive Maintenance and Downtime Prevention: AI detects anomalies in system behavior, network traffic, and infrastructure utilization, preventing failures before they occur.
    • AIOps Transformation: AI-driven IT Operations (AIOps) can analyze large-scale IT data in real-time, improving incident response time and increasing IT service uptime.

    A mid-sized financial institution reduced IT support tickets by 60% and cut operational costs by 40% after adopting AI-enabled Managed Services. The ability to predict and remediate IT disruptions before they happen has become a game-changer for business continuity.

    2. AI-powered Security: Stay Ahead of Threats

    Cyber threats are evolving rapidly, and businesses relying on traditional MSPs face delayed threat detection and compliance challenges. AI-enabled Managed Services provide a real-time, autonomous security approach that ensures firms stay ahead of cyber risks.

    • AI-powered Threat Detection: AI-driven security solutions proactively identify threats, minimizing risks and improving response times.
    • Proactive Compliance and Risk Management: AI scans IT environments for compliance violations, reducing audit preparation time.
    • Automated Identity and Access Management: AI identifies unauthorized access attempts within milliseconds, preventing phishing-related breaches.

    A large enterprise struggled with thousands of daily false-positive security alerts, overwhelming its security teams and slowing response times. Implementing AI-driven security operations with contextual analysis and automated responses reduced false positives by over 70%, allowing security teams to focus on real threats and enhance overall cybersecurity efficiency.

    3. Scalable IT: Adapt Processes and Optimize Costs

    Scalability has always been challenging, as businesses often face rigid service contracts, static SLAs, and unpredictable IT resource allocation. AI-enabled Managed Services introduce real-time adaptability, ensuring IT infrastructure scales in alignment with business needs.

    • AI-optimized IT Resource Allocation: AI continuously analyzes IT workloads and business requirements, dynamically adjusting cloud and on-premises resources to maximize efficiency and scalability.
    • Automated IT Governance and Decision-making: AI assists in real-time decision-making, ensuring IT services are aligned with business objectives without requiring manual oversight.
    • Intelligent IT Cost Optimization: AI-based financial analytics in IT operations can identify unnecessary IT spending and optimize cloud costs.

    AI-enabled managed services allow businesses to adjust their AI resources based on evolving needs, enabling them to scale up or down easily. This adaptability ensures optimal utilization of technology and supports a 25% increase in overall AI system performance.

    Why Businesses Must Act Now

    The cost of inaction is rising, and delaying AI-enabled Managed Services means falling behind in a digital-first world. AI is not just improving IT—it’s redefining business operations and setting new standards for efficiency. As adoption accelerates, outdated IT setups will create inefficiencies, security risks, and operational bottlenecks. Here’s why acting now is critical:

    • Escalating IT Costs: Organizations without AI-driven IT automation continue to face rising IT expenses, higher labor costs, and inefficient resource utilization. AI-enabled Managed Services optimize these processes by automating repetitive tasks, streamlining workflows, and reducing the burden on IT teams, leading to more cost-effective operations.
    • Increased Cybersecurity Risks: Cyber threats are evolving at an unprecedented pace. Without AI-driven threat intelligence and automated security frameworks, businesses remain exposed to potential data breaches, compliance violations, and financial losses. Organizations using AI and automation extensively in prevention workflows saved an average of $2.2 million in breach costs compared to those without AI.
    • Lost Competitive Edge: Businesses that delay AI adoption will lag behind competitors who leverage AI for faster decision-making, improved customer experiences, and streamlined operations. Industries embracing AI are seeing resource productivity grow 4.8 times faster than average.
    • Operational Complexity Will Become Unmanageable: As businesses scale, IT environments become increasingly complex, demanding intelligent solutions to maintain efficiency and agility. AI-driven IT operations simplify and automate workflows, ensuring businesses can scale efficiently without unnecessary overhead.

    The question is no longer whether businesses should adopt AI in IT operations but how quickly they can make the transition to stay ahead.

    AI-enabled MSPs Are the Future of Operational Excellence

    The shift from traditional MSPs to AI-enabled Managed Services is no longer optional—it’s inevitable. Organizations that embrace AI-driven IT automation, security intelligence, and adaptive IT scalability will set new benchmarks in operational excellence. AI is not just an efficiency booster—it’s the foundation of the next-generation IT service ecosystem.

    Take the next step and assess your AI readiness with a complimentary AI Maturity and Strategy Discovery Session, and future-proof your IT operations.