What Does the Future of Cloud Computing Look Like?

by Teknita Team | Apr 20, 2023 | Uncategorized

Cloud computing is one of the most transformative technologies of our time, enabling businesses and individuals to access computing resources on demand, over the internet, without having to invest in or manage their own infrastructure. According to a report by Gartner, the global public cloud services market is expected to grow 23.1% in 2023, reaching $332.3 billion, up from $270 billion in 2022.

But what exactly is cloud computing and why is it so popular? And what are the trends and challenges that will shape its future? In this blog post, we will explore these questions and more.

What is cloud computing?

Cloud computing is the on-demand availability of computing resources as services over the internet. It eliminates the need for enterprises to procure, configure, or manage resources themselves, and they only pay for what they use. There are three types of cloud computing service models:

• Infrastructure as a service (IaaS) offers compute and storage services, such as virtual machines, containers, databases, and networks.
• Platform as a service (PaaS) offers a develop-and-deploy environment to build cloud apps, such as web servers, middleware, and development tools.
• Software as a service (SaaS) delivers apps as services, such as email, CRM, and collaboration tools.

Cloud computing also has different deployment models, depending on where the resources are located and who can access them:

• Public cloud is run by third-party cloud service providers, such as Google Cloud , Microsoft Azure , or IBM Cloud , who own and manage the infrastructure and offer services to anyone over the internet.
• Private cloud is run by a single organization for its own use, either on-premises or hosted by a third-party provider.
• Hybrid cloud is a combination of public and private clouds, connected by a common platform or network, that allows data and applications to move between them.

Why is cloud computing so popular?

Cloud computing offers many benefits for businesses and individuals, such as:

• Cost: Cloud computing eliminates the capital expense of buying hardware and software and setting up and running on-site data centers. It also reduces the operational costs of maintenance, security, and upgrades. Users only pay for the resources they consume, which can be scaled up or down according to demand.
• Speed: Cloud computing services are provided self-service and on-demand, so users can provision resources in minutes with just a few clicks. This enables faster innovation and delivery of products and services.
• Scalability: Cloud computing services can scale elastically to meet changing needs and workloads. Users can access more or less resources from anywhere in the world, without worrying about capacity planning or performance issues.
• Productivity: Cloud computing frees up IT staff from managing complex infrastructure and allows them to focus on more strategic tasks. It also simplifies collaboration and communication among teams and partners by enabling access to shared data and applications from any device.
• Reliability: Cloud computing ensures data backup, disaster recovery, and business continuity by replicating data across multiple redundant sites on the cloud provider’s network. It also offers high availability and fault tolerance by automatically distributing workloads across different servers.
• Security: Cloud computing providers offer a range of policies, technologies, and controls that protect data, applications, and infrastructure from potential threats. They also comply with various standards and regulations that govern data privacy and security.

What are the trends and challenges that will shape the future of cloud computing?

Cloud computing is constantly evolving to meet the needs and expectations of users. Some of the trends and challenges that will influence its future are:

• Edge computing: Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth. It enables low-latency applications such as IoT devices , autonomous vehicles , smart cities , gaming , AR/VR , etc. Edge computing complements cloud computing by providing local processing power while leveraging the cloud for centralized management and analytics.
• Artificial intelligence (AI) : AI is the ability of machines to perform tasks that normally require human intelligence , such as reasoning , learning , decision making , etc. AI enables cloud computing to deliver more intelligent , personalized , and efficient services , such as voice assistants , chatbots , recommendation systems , image recognition , etc. AI also helps optimize cloud operations by automating tasks such as resource allocation , load balancing , security monitoring , etc.
• Multi-cloud : Multi-cloud is the use of multiple cloud providers or services for different workloads or purposes. It helps leverage the latest technologies and capabilities from different cloud providers to create innovative solutions and gain a competitive edge, reduce your dependency on a single cloud provider and avoid vendor lock-in and mitigate the risks of downtime, data loss, security breaches, or compliance issues by distributing your workloads across multiple cloud environments and providers.
• Cloud computing will move to the forefront of enterprise technology over the next decade, backed by strong executive support. Globally, 47% of survey participants said that the majority of their companies’ IT infrastructures already use public or private cloud computing. When asked about predictions for 2029, that number jumped 30 percentage points.
• Cloud computing will enable more innovation and collaboration across industries and regions. The report found that 88% of respondents believe that cloud computing will make it easier for companies to innovate and collaborate with others, while 86% think that cloud computing will help create a more level playing field for businesses of all sizes.
• Cloud computing will require more skills and expertise from IT professionals. As cloud computing becomes more complex and diverse, IT professionals will need to acquire new skills and knowledge to manage and optimize cloud environments. The report identified four key skill areas for the future of cloud computing: security, data analytics, artificial intelligence (AI), and machine learning (ML).
• Cloud computing will face more challenges in terms of security, privacy, and regulation. As cloud computing becomes more pervasive and powerful, it also raises more concerns about data protection, cyberattacks, and compliance with different laws and regulations. The report found that 81% of respondents consider security as the most important factor when choosing a cloud provider, while 76% cite privacy as a key concern.
• Cloud computing will embrace more hybrid and multi-cloud models. Hybrid clouds combine public and private clouds to offer more flexibility and scalability, while multi-clouds use multiple cloud providers to leverage their strengths and avoid vendor lock-in. The report found that 58% of respondents use or plan to use hybrid clouds, while 54% use or plan to use multi-clouds.

In summary, these trends and challenges are likely to have a significant impact on the future of cloud computing. By staying informed and proactive, we can position ourselves to take advantage of the opportunities and mitigate the risks associated with this exciting technology.

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IT News Roundup: April 2023

by Teknita Team | Apr 18, 2023 | Uncategorized

The IT industry is constantly evolving and changing, with new developments, innovations, and challenges every day. Here are some of the latest IT news stories that you should know about:

Google’s vision for a connected future with Android and ChromeOS
Google is working on bringing Android and ChromeOS closer together than ever, creating a seamless experience across devices and platforms. Google’s vision is to use the cloud as the glue that connects everything, from smartphones to laptops to smart speakers. Google wants to make it easy for users to access their data, apps, and services from any device, anywhere, anytime. Google also wants to leverage its AI and machine learning capabilities to provide personalized and contextual assistance to users, such as suggesting actions, reminders, or content based on their needs and preferences.

However, Google’s ambitious plan also raises some questions and challenges, such as how to balance privacy and security with convenience and functionality, how to deal with compatibility and fragmentation issues across different devices and versions of Android and ChromeOS, and how to compete with other tech giants like Apple and Microsoft that have their own ecosystems and strategies.

Nearly four in five employers struggle to fill job roles, a 17-year high
The IT sector is facing a talent shortage crisis, as nearly 80% of employers report difficulty finding qualified candidates for their open positions. This is the highest level since 2006, according to a survey by ManpowerGroup. The survey also found that IT skills are among the most in-demand across all industries, especially cybersecurity, cloud computing, data analysis, and software development.

The talent gap is caused by several factors, such as the rapid pace of technological change that requires constant upskilling and reskilling of workers, the lack of diversity and inclusion in the IT workforce that limits the pool of potential candidates, the impact of the COVID-19 pandemic that disrupted education and training opportunities for many people, and the mismatch between the expectations and preferences of employers and job seekers.

To address this challenge, employers need to adopt more flexible and innovative hiring strategies, such as offering remote work options, providing training and career development programs, partnering with educational institutions and community organizations, and creating a more diverse and inclusive culture.

EU privacy regulators to create task force to investigate ChatGPT
ChatGPT is a popular chatbot service that uses artificial intelligence to generate realistic and engaging conversations with users. ChatGPT claims to be able to talk about anything with anyone, from casual chit-chat to deep philosophical discussions. However, ChatGPT has also raised some serious concerns about its compliance with the EU’s General Data Protection Regulation (GDPR), which sets strict rules for how personal data is collected, processed, and stored.

The European Data Protection Board (EDPB), which is composed of data privacy regulators from all EU member states, has decided to create a task force to investigate ChatGPT’s practices and potential violations of GDPR. The task force will examine issues such as how ChatGPT obtains consent from users to collect their data, how ChatGPT ensures the security and accuracy of the data it stores and uses, how ChatGPT respects the rights of users to access, correct, or delete their data, and how ChatGPT handles sensitive or special categories of data such as biometric or health information.

The EDPB’s investigation could result in fines or sanctions for ChatGPT if it is found to breach GDPR rules. ChatGPT could also face legal action from individual users or consumer groups who may claim damages for any harm caused by ChatGPT’s use of their data.

Cisco to offer Webex air-gapped cloud system for security, defense work
Cisco is planning to launch a new version of its Webex cloud collaboration platform that will provide an extra layer of security for companies working on national security and defense projects. The new Webex air-gapped cloud system will isolate the data and communications of these companies from the rest of the Webex network and the internet at large. This will prevent any unauthorized access or interference from external actors or malicious insiders.

The Webex air-gapped cloud system will be hosted in Cisco’s own data centers in the US and will comply with the highest standards of security certification required by the US government. The system will also offer end-to-end encryption for all data in transit and at rest. The system will support all Webex features such as video conferencing, messaging, file sharing, whiteboarding, polling, transcription, translation, and more.

Intel arc GPUs get another major performance-boosting driver, up to 63% improvement across games
Intel is gearing up for the launch of its first discrete gaming graphics cards, codenamed Arc, later this year. To prepare for this, Intel has been releasing frequent driver updates for its existing integrated graphics solutions, which share the same architecture and features as Arc. The latest driver update, version 30.0.100.9955, brings significant performance improvements for a number of popular games, such as Cyberpunk 2077, Doom Eternal, Horizon Zero Dawn, and Red Dead Redemption 2.

According to Intel’s own benchmarks, the driver update can boost the frame rates by up to 63% on some games, depending on the resolution and settings. For example, Cyberpunk 2077 can run at 28.8 frames per second (fps) on low settings at 1080p resolution on an Intel Iris Xe Max GPU with the new driver, compared to 17.6 fps with the previous driver. Similarly, Doom Eternal can run at 56.9 fps on medium settings at 1080p resolution on an Intel Iris Xe Graphics G7 GPU with the new driver, compared to 36.1 fps with the previous driver.

The driver update also adds support for new features such as DirectX 12 Agility SDK, which enables faster adoption of new DirectX 12 features by developers and gamers; Adaptive-Sync for HDMI displays, which synchronizes the refresh rate of the display and the GPU to reduce screen tearing and stuttering; and HDR tone mapping for SDR displays, which enhances the contrast and color range of HDR content on non-HDR displays.

How to overcome noise in quantum computations
Quantum computing is a promising technology that could revolutionize various fields such as cryptography, artificial intelligence, and drug discovery. However, quantum computing also faces a major challenge: noise. Noise refers to any unwanted disturbance or interference that affects the quantum state of a qubit, the basic unit of quantum information. Noise can cause errors and reduce the accuracy and reliability of quantum computations.

Scientists from the University of Sydney have made significant progress in quantum computing by deriving a formula that predicts the effects of environmental noise on quantum systems. The formula, called the Lindbladian master equation, describes how noise affects the evolution of a quantum system over time. The formula can help researchers design better quantum error correction schemes and optimize quantum algorithms for noisy environments.

The formula is based on a mathematical framework called Lindblad theory, which was developed by Swedish physicist Göran Lindblad in the 1970s. However, applying Lindblad theory to realistic quantum systems was difficult and computationally expensive until now. The scientists used a technique called perturbation theory to simplify and approximate the Lindbladian master equation for various types of noise models. The scientists tested their formula on a two-qubit system and found that it matched well with experimental data.

The scientists hope that their formula will enable more efficient and robust quantum computing in the future.

That’s all for this month’s IT news roundup.

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How to Overcome Noise in Quantum Computations

by Teknita Team | Apr 11, 2023 | Uncategorized

Quantum computing is one of the most promising fields of information technology, as it promises to solve problems that are beyond the reach of classical computers. Quantum computing is a new type of computing that uses the principles of quantum mechanics to perform calculations that are impossible or very hard for classical computers. Quantum mechanics is a branch of physics that describes the behavior of very small particles, such as atoms and electrons, that can exist in multiple states at the same time1.

Quantum computers use special units called qubits (quantum bits) that can store and process information in a quantum way. Unlike classical bits that can only be either 0 or 1, qubits can be both 0 and 1 at the same time, or any combination of them. This allows quantum computers to explore many possible solutions simultaneously and find the optimal one faster than classical computers.

Quantum computing has many potential applications in various fields, such as cryptography, optimization, artificial intelligence, chemistry, physics, and medicine. For example, quantum computers could help break encryption codes, find optimal routes for transportation networks, simulate complex molecules and materials, solve equations that describe the universe, and discover new drugs. However, quantum computers are also very sensitive to noise, which can introduce errors and degrade the performance of quantum algorithms.

Noise can come from various sources, such as imperfect control of quantum gates, interactions with the environment, or measurement errors. To overcome noise, researchers have developed various techniques, such as error correction codes, fault-tolerant protocols, or noise mitigation methods.

One of the challenges in noise mitigation is to quantify the effects of noise on quantum computations and to find optimal ways to reduce them. In a recent study, scientists have made significant progress in this direction by deriving a formula that predicts the effects of environmental noise on any quantum algorithm.

The formula is based on a mathematical tool called the diamond norm, which measures how much a quantum operation deviates from its ideal version due to noise. The researchers showed that the diamond norm can be computed efficiently using a technique called semidefinite programming, which involves optimizing a function over a set of matrices.

The researchers applied their formula to several quantum algorithms, such as Grover’s search, quantum Fourier transform, and quantum phase estimation. They found that their formula accurately predicts the effects of noise and allows them to optimize the parameters of the algorithms to minimize the noise.

The researchers hope that their formula will help quantum programmers design more robust and efficient quantum algorithms and pave the way for practical applications of quantum computing.

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Who is Growth Hacker

by Teknita Team | Apr 3, 2023 | Uncategorized

Growth hacking is an interesting way to reach a broad group of potential customers with advertising messages. A growth hacker must have knowledge of both marketing and programming.

What growth hackers do on a daily basis and why their work is so important for modern business owners?

There are many future professions related to the IT industry. One of the specializations that is somewhat connected to this sector is growth hacking.

Growth hacking is a relatively young marketing technique. It stands out because marketing activities are carried out completely differently. The task of a growth hacker, is to go beyond the traditional methods used by other competing companies. The most important thing is to search for innovative solutions that will translate into increased profits, a larger number of customers, and entering new markets.

For a growth hacker, the key issue is – as the name suggests – growth. Everything they do is focused on ultimately contributing to improving the situation of a given company.

The creator of the concept of growth hacking was Sean Ellis, who said in 2010:

“Considering the significance of the word ‘hack’, growth hacking can be defined as a shortcut to traditional marketing techniques.”

Mason Pelt, referring to this term, pointed out that “growth hacking involves both optimization and generating potential customers.” He also added that the true growth hacker’s task must be to take care of maintaining all existing customers.

Ryan Holiday had a significant impact on popularizing the concept of growth hacking. He wrote a book called “Growth Hacker Marketing.” In his book, the author wrote that growth hacking is a “business strategy that starts with rejecting the principles of traditional marketing and replacing them with testable, trackable, and scalable customer acquisition techniques.” Growth hackers’ earnings are very high due to the increasing demand for their work.

How to become a growth hacker?

To work as a growth hacker, one must possess the right skills. Basic knowledge of marketing techniques is not enough. Specialists in this field are expected to have much more.

The most important skills a growth hacker should possess include:

• Broad knowledge of marketing – a professional growth hacker should have a comprehensive understanding of content marketing, PPC, viral marketing, social media, and other marketing techniques.
• Data analysis skills – a good growth hacker must be able to analyze data and use popular analytical applications such as Google Analytics, Data Studio, or Excel.
• A/B testing skills
• Knowledge of the latest technological trends – a growth hacker must know which solutions and applications are currently in vogue and how to use them to increase a company’s competitiveness.
• Sales skills
• Knowledge of popular IT languages and technologies – some of the most important skills in this area include creating queries and pages in databases, UX/UI design, building landing pages, and mechanically duplicating certain actions using appropriate scripts.
• Conducting qualitative research, such as surveys
• Independence and self-sufficiency.

What does a growth hacker do?

The task of a growth hacker is to work on improving the products or services offered by a company in a way that translates into an increase in profits. It is also important for the work of a growth hacker to result in a larger number of customers and an improved image of the company. A specialist in this position must search for new ways of growth in various fields every day.

It is worth knowing that growth hackers often collaborate on an ongoing basis with employees from various departments of the company, obtaining the freshest information from them. A growth hacker can be both an independent external expert and a member of the company’s department.

What projects can a growth hacker work on?

In reality, they can work on any project, because their experience, skills, and knowledge will prove invaluable for any endeavor and are likely to translate into tangible profits for the company. Every company, regardless of its stage of development, should invest in hiring a growth hacker. This will greatly increase its chances of gaining a competitive advantage and entering new markets.

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Mastering Business Goals with SMART Methodology

by Teknita Team | Mar 17, 2023 | Uncategorized

Mastering business goals with SMART methodology means effectively utilizing the SMART method to define, plan, and achieve business objectives. The term SMART is an acronym that stands for Specific, Measurable, Achievable, Relevant, and Time-bound. The idea behind the SMART methodology is to ensure that goals are set in a way that is clear, concise, and achievable.

Here’s what each component of the SMART methodology means:

• Specific: The goal should be well-defined and clear, leaving no room for ambiguity or confusion. The more specific the goal, the easier it is to create a plan to achieve it.
• Measurable: The goal should be quantifiable, so that progress can be tracked and success can be measured. Having measurable goals allows you to see how far you’ve come and adjust your approach if necessary.
• Achievable: The goal should be realistic and attainable, taking into account the resources and limitations available. Setting goals that are too lofty or unrealistic can lead to frustration and disappointment.
• Relevant: The goal should be aligned with the overall strategy and objectives of the organization or project. Goals that are not relevant can waste time and resources.
• Time-bound: The goal should have a deadline or target date for completion. Having a specific deadline helps to create a sense of urgency and keeps you focused on achieving the goal.

HOW TO USE SMART METHODOLOGY IN IT ENVIRONMENT

Currently, IT specialists have access to many solutions that make daily work much easier. There is a lot of discussion about the most popular methodologies for managing IT projects, the benefits of digitization, and the Internet of Things. However, it is worth knowing that simple methods still enjoy great success. Sometimes effectiveness lies in simplicity. One of the simple yet effective methods used not only by programmers but also by professionals in many other fields is the SMART method.

The SMART method originates from management science. By using it, business goals can be properly defined, significantly increasing the chances of achieving them. To set goals according to the SMART principle, one must first subject everything we want to achieve to comprehensive analysis.

Despite the fact that the SMART principle comes from management science, due to its simplicity, intuitiveness, and immense effectiveness, it has also gained great popularity outside of business. By implementing this concept in any chosen field, it is possible to plan more efficiently and achieve specific goals.

If we set goals properly using the SMART principle, we can immediately start taking action, be properly motivated, and complete the entire project 100% according to plan. Additionally, the SMART method allows for an effective evaluation of the results of completed activities. This allows us to verify whether all the set goals have been achieved and to what extent.

How does setting a goal using the SMART method look like?

1. Identify the goal: Start by identifying the goal you want to achieve. It could be anything from developing a new software product to improving the performance of an existing system.

2. Make the goal specific: Make sure the goal is specific and well-defined. For example, instead of saying “improve system performance,” say “reduce system response time by 20%.”

3. Ensure the goal is measurable: Make sure the goal is measurable, so that progress can be tracked and success can be measured. For example, you can measure the system response time before and after the improvement to determine if the goal has been achieved.

4. Determine if the goal is achievable: Assess whether the goal is achievable, taking into account the resources, time, and skills available. If the goal is not achievable, consider breaking it down into smaller, more achievable goals.

5. Ensure the goal is relevant: Make sure the goal is relevant to the overall strategy and objectives of the organization. For example, improving system performance may be relevant if it supports the business strategy of providing better customer service.

6. Make the goal time-bound: Set a deadline for achieving the goal. For example, you may want to achieve the system performance improvement within the next six month

BENEFITS FROM USING SMART

Using the SMART methodology to set and achieve goals has several benefits, including:

• Clarity: The SMART methodology helps to clarify the goals and objectives of a project or initiative, making it easier to develop a plan to achieve them.

• Focus: The SMART methodology helps to focus attention on the most important goals and objectives, which can help to avoid wasting time and resources on less important tasks.

• Measurability: The SMART methodology provides a framework for measuring progress towards a goal, which can help to motivate individuals and teams and keep them on track.

• Realistic goals: The SMART methodology helps to set realistic goals that are achievable given the resources, time, and skills available, which can help to reduce frustration and increase motivation.

• Alignment: The SMART methodology ensures that goals are aligned with the overall strategy and objectives of an organization, which can help to ensure that resources are allocated appropriately.

• Accountability: The SMART methodology helps to create a sense of accountability for achieving goals, which can help to ensure that everyone involved is committed to achieving success.

Using the SMART methodology in IT environment can help you prioritize and allocate resources more effectively, as well as identify potential roadblocks and risks that may hinder your progress. Overall, using the SMART methodology can help individuals and organizations set and achieve goals in a way that is clear, focused, and measurable, which can increase the likelihood of success and reduce wasted time and resources.

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