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Artificial Intelligence: Top Pick Statistics for 2020

Artificial Intelligence Top Pick Statistics 2020

    • According to the market research firm Tractica, Revenues from the artificial intelligence (AI) software market worldwide is expected to have a growth of 6 billion by 2025 – Statista

    It is factually a pain and it vardenafil pharmacy may worsen side effects. Several tests are needed to find out this sexual disorder and viagra in stores want to educate themselves further about the causes and treatments of ED, we know that ED is not permanent. Health experts have said that psychological factors can cause order cialis from canada male dysfunction. In order to soft tab cialis make firm erections a person will have to be facing proper flow of blood to the penile leading to ED.

 

    • According to Gartner, Inc. 25% of customer service and support operations will integrate virtual customer assistant (VCA) or chatbot technology to communicate with customers by 2020 – Gartner

 

    • Large companies are adopting AI at a rapidly accelerating rate. Just 4% of enterprises had adopted AI 12 months ago. Today, 14% of enterprises have deployed AI. A further 23% intend to deploy AI within the next 12 months. Adoption will continue to accelerate; in two years, nearly two thirds of large companies will have live AI initiatives – Gartner

 

    • According to PwC analysis, AI, robotics and other forms of smart automation will bring great economic benefits and contribute up to $15 trillion to global GDP by 2030 – PwC

 

    • By 2020, investors will use platform, data value and customer engagement metrics as value factors for all enterprises- IDC

 

    • IDC predicts that the Global Datasphere will grow from 175 Zettabytes by 2025 – IDC

 

    • Artificial intelligence has come into the mainstream because it allows us to make sense of an increasingly large amount of data in real time. Indeed, worldwide data will grow 61% to 175 zettabytes by 2025- IDC

 

    • In order to fill skill gaps caused by the need of AI adoption,75% of organizations will be investing in employee retraining by 2025 – IDC

 

    • By 2021, at least 50% of global GDP will be digitized with growth in every industry driven by digitally enhanced offerings, operations, and relationships- IDC

 

    • The RPA Services Market will grow to reach $12 Billion by 2023. Also to be noted that, Forrester has previously projected that the RPA software market itself will grow to $2.9 billion by 2021. – Forrester

 

    • 11,214 results This is the number of open positions produced by a recent search for “robotic process automation”on LinkedIn’s jobs site. Titles vary within this growing IT jobs category, but “RPA developer” (and variations of the same) is an increasingly common one – reflecting the need for IT pros who can build the bots that enable organizations to offload repetitive, time-consuming tasks – LinkedIn

 

    • Clinical health AI applications can potentially create $150 billion in annual savings for the US healthcare economy by 2026 – Accenture

 

    • Growth in the AI health market is expected to reach $6.6 billion by 2021—that’s a compound annual growth rate of 40% – Accenture

 

    • According to a report by Statista, revenue in the Smart Home market amounts to $90,968m in 2020. Household penetration is 9.3% in 2020 and is expected to hit 19.3% by 2024. The average revenue per installed Smart Home currently amounts to $77.07. Revenue is expected to show an annual growth rate (CAGR 2020-2024) of 15.0%, resulting in a market volume of $158,876m by 2024 – Statista

 

    • 80% of all marketing executives predict Artificial Intelligence will revolutionize marketing by 2020 by generating a better sale close rate, increase in revenue, improvements in website traffic and customer engagement and a higher conversion rate of potential leads to paying customers- DEMANDBASE

 

    • Chatbots integration will allow banking and healthcare sector to save $8billion annually by 2020- Juniper research

 

    • AI surveillance technology is spreading at a faster rate. At least 75 out of 176 countries globally are actively using AI technologies for surveillance purposes, including smart city/safe city platforms (56 countries), facial recognition systems (64 countries), and smart policing (52 countries) – Carnegie endowment for international peace

 

    • AI embedded in analytics and other marketing software will free up more than a third of data analysts in marketing organizations by 2022, providing them with more time to spend on other business priorities instead of spending time on repetitive manual processes – Gartner

 

    • In approximately 60% of occupations, at least 30% of constituent activities are technically automatable by adapting currently proven AI technologies in sectors such like: Finance and insurance, Retail, transport and trade, Professional services, Manufacturing, Healthcare – McKinsey Global Institute

 

    • According to the report, the global artificial intelligence (AI) in cyber security market was USD 7.1 billion in 2018 and is expected to reach approximately USD 30.9 billion by 2025, at a CAGR of slightly above 23.4% between 2019 and 2025 – Zion Market Research

 

Artificial Intelligence: Just a Trend or A Long-Term Growth Factor?

Artificial Intelligence Just a Trend or A Long-Term Growth Factor

Artificial Intelligence is having an impact on our world in many different ways by playing an increasingly important role in our lives and worldwide economy. The number of companies that have integrated AI in their process is growing rapidly, in sectors like health-care, retail, HR, marketing and cybersecurity industry and the war for talent acquisition and competition for value creation is on the next level between industries and nations.

 

AI is not new or just a temporary trend, history tells us that humans and the companies are remarkably successful at working together with robotics to the latest technologies such as smart machines, including 3D printing, AR and VR in order to survive in competitive era and also find new opportunities for their companies’ growth. A study by MMC Ventures revealed that 60% of the interrogated cases, which represents 1,580 companies, AI is being used in their solutions and 40% of the self-proclaimed “AI companies” in Europe had discovered that AI was not used in their solutions.

 

AI is bringing its advantages in sectors like healthcare, transportation, cyber security industry, security industry, prediction of natural disasters, farming, smart-cities, and is helping to reinforce economy. A discussion paper created by McKinsey demonstrated how AI applications are contributing for social good. According to McKinsey’s analysis, AI initiatives are having a positive impact on good health and well-being, peace, justice and strong institutions, provide quality education, protect all life on land and below water, ending poverty, industrial innovation and infrastructure, reducing inequality, climate action, decent work and economic growth, gender equality, sustainable cities and communities and responsible consumption and production, increase work efficiency and output, offers accurate future predictions, detect frauds, avoid human errors with the help of increased automation and many more.

 

Artificial intelligence is certain ally and dramatically improving the efficiencies of our workplaces and increasing the work humans can do by taking all repetitive or dangerous tasks and the human workforce to do work they are better equipped for, such as, tasks that involve creativity and empathy among others. By doing work that is more engaging to them, job satisfactions, productivity and happiness among employees is also increasing.

 

AI in its many forms offers users the ability to do tasks on a scale and at a speed that humans cannot achieve on their own. AI can also gain new insights from analytical tasks. It’s not just about collecting large amounts of data (=bigdata) and investigative it with advanced mathematics or developing amazingly complex algorithms. Once the gathered data is well extracted, managed and good algorithms are chosen, our society will gain countless hours of productivity with just the introduction of well automated tasks.

 

Thus, it seems important to clear the fuss around AI destroying jobs because it’s only fiction rather than a fact. Instead of destroying jobs, AI is bringing a gradual evolution in the job market, people are getting better at their jobs with the help of AI. According to a report from the World Economic Forum (WEF) called “The Future of Jobs 2018, and recent report called “Job creation and elimination worldwide due to AI 2022” AI, Machines and algorithms in the workplace are expected to create 2.3 million jobs. Even who does the work is changing rapidly – human, robot, or co-bot. The division of labour between humans, machine and AI is shifting quickly. By 2025, it is expected to shift to 48% human, 52% machine or algorithm. The combination of human and machine is the new normal in the workforce of the future.

 

Technology helps move society forward, and the integration of AI is doing the same. The integration of AI into healthcare, smart cities, law and other service-based industries is helping in making processes simpler and giving them enough time to focus on other issues. In this increasingly data-driven world the importance and impact of artificial intelligence is only growing and is becoming more crucial in gaining competitive advantage. Therefore, despite all the positive effects and worldwide boom in artificial intelligence industry, companies shouldn’t forget that AI is only a tool that they need to update/improve continuously instead of one-time investment in order to achieve their goals.

 

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IT Trend 2020: Future of Cloud Computing and Experts Predictions

 

2010 defined Cloud computing’s past, present, and future when technology giants Microsoft, Google and Amazon Web Services launched their cloud platforms. It went from “what is cloud” to “where and when can we use it for cost-cutting options” to “why not cloud”? And there’s no doubt that even in 2020, it’ll be one of the key innovations that will be the subjects of countless business and technology discussions.

 

Evan Kaplan, CEO, InfluxData

Cloud Is the Future Business Model for Open Source Companies

“The coming year will show that cloud-based applications are the winning monetization strategy for open-source software companies. While the first generation of companies that developed open-source software tried to use a paid customer support and training model, the last couple of years have shown that to be unsustainable. In 2020, pay-per-use, cloud-based services will take hold as the leading business model for open-source companies. As enterprises increasingly focus on agility and time-to-value, cloud-based services can deliver speed and scalability for customers that are willing to pay and by extension they offer a source of revenue for software companies that want to develop and monetize open-source technology.”

 

Here below is a list of trends that will (re)shape the cloud in 2020 along with the experts predictions for cloud 2020 and beyond:

 

 

  • Public cloud adoption: The buzz around cloud gives impression that everyone has adopted the cloud. This is almost true if we refer to consumer tools, such as email or online file storage, but it is much less so for businesses. In reality, 94% of enterprises are already using a cloud service and according to Gartner’s forecast, the public cloud service market is expected to reach $623.3 billion by 2023 worldwide with 83% of enterprise having their workloads in the cloud by 2020. Means cloud was already a huge deal in 2019 and it’s only going to grow in numbers!

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Vadim Vladimirskiy, CEO, Nerdio

Public Cloud Adoption Will Rise Thanks to Managed Service Providers

“Public cloud adoption will continue to rise as a result of MSPs seeking a more secure IT environment, as it’s currently a top concern causing them to rethink the continued feasibility of their practice and offerings. Public cloud is a huge comfort here because if MSPs store their data and apps with someone like Microsoft – they get the work and knowledge of thousands of people who are dedicated solely to security.

 

  • Multi- cloud adoption: In order to offload the burdens of compliance, more and more companies are looking for solutions that serve the needs of their specific industry. Therefore, public and private clouds and data centers are brought together in a multi-cloud approach to offer an unprecedented level of service and efficiency. According to Gartner, more than $1.3 trillion in IT spending will be directly or indirectly affected by the shift to cloud by 2022.

 

Karthik Ranganathan, Founder and CTO, Yugabyte

Multicloud Deployments Will Accelerate

“Multi-cloud deployments are becoming the norm in today’s enterprise. In 2020, this trend will continue to accelerate. A multi-cloud approach is critically important for organizations that run on-premise, since they need to stay in a hybrid mode when moving microservices to the cloud. As a result, we expect to see enterprises widely embrace distributed SQL databases to ensure agility without the availability constraints of traditional monolithic databases, like Oracle.”

 

David Linthicum, Chief Cloud Strategy Officer, Deloitte Consulting

Public Cloud Providers Will Need to Adopt to Multicloud

“In 2020, I also believe we’ll see public cloud providers finally accept that they will most often be deployed as part of a multi-cloud architecture. Thus, we’ll see native public cloud tools that will be focused on managing, securing, and governing several cloud brands, all from a single cloud brand. At the end of the day, this can provide public cloud providers with a key advantage that they are able to exploit to grow the use of public cloud in general. Who will be first?”

 

 

  • Hybrid- cloud adoption: In order to extract maximum benefits from using both a private cloud and public clouds, many organizations are adopting hybrid clouds. As it’s linked to the public cloud, and allows organizations to switch back and forth between their own tools, and the tools offered by various cloud providers, improves speed and flexibility. A survey from IDC has demonstrated a growth of 7% in 2019 – 58% in 2019 up from 51% 2018, of organization using a hybrid strategy. The hybrid strategy will continue to grow in 2020.

 

Haoyuan Li, Founder and CTO, Alluxi

The Rise of the Hybrid Cloud

“We’ve been hearing people talk about the hybrid cloud for the past three years now. And for the most part, that’s all it’s been – talk. 2020 is the year it gets real. But first, what does hybrid cloud actually mean? Red Hat defines hybrid cloud as “a combination of two or more cloud environments—public or private.” We are seeing large enterprises refusing to add capacity on-prem to their Hadoop deployments and instead invest in the public cloud. But they are still not willing to move their core enterprise data to the cloud. Data will stay on-prem and compute will be burst to the cloud, particularly for peak demands and unpredictable workloads. Technologies that provide optimal approaches to achieve this will drive the rise of the hybrid cloud.

 

Wally MacDermid, Vice President of Cloud, Scality

Hybrid Cloud Will Become the Dominant Architecture for Enterprises

“Microsoft Azure (Azure Arc, Azure Stack Hub, Azure Stack Edge), Amazon Web Services (AWS Outpost, VMware on AWS) , and Google (Anthos, Google Kubernetes Engine) are all investing heavily not only in solutions that connect on-premises infrastructure to their own public clouds, but also in cross-cloud interoperability and management. This blurring of lines between vendors and technologies is an excellent development for enterprises who are looking not to be locked into a single vendor, but for the best technology to solve specific business problems.”

 

  • Edge Computing adoption: The cloud is designed in large centralized data centers, and companies that need almost instant access to IT resources and data are turning to a new distributed cloud infrastructure called edge computing. Edge computing is a “mesh network of micro data centres that process or store critical records locally and push all received records to a central data centre or cloud storage repository, in a footprint of less than 100 square feet,” according to research firm IDC. Technically, it’s winning its game around data processing by refocusing the flows on the most important data in order to reduce the latency to approach real time. It is also the infrastructure of choice for another revolution, the IoT, as with the advancement in IoT, artificial intelligence, a new concept is coming in the market i.e., smart city initiatives that support the implementation of edge computing. Previously valued at USD 1,704.75 million, The edge computing market is expected to reach USD 9,325.33 million by 2025, registering a CAGR of 34. %, during the forecast period of 2020-2025.

 

Aron Brand, CTO, CTERA

Edge Computing Will Go Mainstream

“2020 will mark a notable shift in enterprise IT as the dawn of a new era of edge computing arises. The first-generation model of centralized cloud computing and storage has now run its course, and most of the new opportunities for enterprise data management reside at the edge. […] Such data growth outside the datacenter is the new reality, and it’s creating a need for enterprises to deploy computing power and storage capabilities at the network edge, aka edge computing. Enterprises are already investing in edge computing to move faster, to have data continuously available, and to improve data security. As edge computing goes mainstream in enterprise IT in 2020, edge-to-cloud architectures that manage data centrally while making it instantly available to users at the edge will be a key enabler for business success.”

 

 

 

 

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2020: Data Center Trends and Transformation

2020: Data Center Trends and Transformation

With the exponential growth in the amount of data, things are changing quickly for the data-center industry. International Data Corporation (IDC) estimates that worldwide data will grow to 79.4 zettabytes (ZB) by 2025. Since it is almost impossible for a company to increase its own data stores every year, they are increasingly turning to IT services from the cloud. Cloud adoption and the rise of hyperscale IT and cloud firms has driven demand, particularly for large-scale space, but also for innovation. Those cloud providers that can provide innovation, automation, scalability and flexibility and customization will be able to differentiate themselves from the competitors and survive in the long term.

 

Gartner predicts that, by 2022, 28% of spending in key IT segments will shift to the cloud, 41% of enterprises workload will be run on public cloud by 2020 with a split of 20% on private cloud and 22% on hybrid, according to Forbes.

 

To keep pace with complete digitization and survive long term, data center providers must:

 

  • Attract multiple hyperscale deployments to build their cloud ecosystem
  • Provide with innovation, automation, scalability and flexibility and customization
  • Have their data centers in multiple remote locations
  • Data-centers are well-equipped with backup solutions for all primary components, such as HVAC, fire, power, etc
  • Are equipped withdisaster recovery plans in case of mishaps, power failures, etc
  • Have an interconnection platform, or services beyond colocation
  • Are able to possesses a large ecosystem of clients/customers who are already interconnected.
  • Implement and respect European cloud data rules and regulations for secure digitization and networking
  • Being able to handle companies’ data, either it’s healthcare, mobility, banking or manuacturing, safely and efficiently in clouds
  • Provide a rapid upgrade
  • Are using up-to-date version of software and technology to protect company assets, along with a strong physical security, as the average cost of a cyber attack on data centers reached to $18.9 million, up from $8.9 million.
  • Are capable to respond to the accelerating demands of big cloud operators for more capacity, equipment designs, build approaches, and incremental power requirements and hyperscale option.
  • Are well organized to fight back with down-time in case of power issues with battery backup and onsite generators.

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This shows how important it is to select a data center that meets your business needs. The wrong data center could lead to issues with poor Internet service, limited scaling, security breaches and can be the reason to damage your company’s reputation. But, despite the checklist above, selecting data center is not as complicated as it may seem. When it comes to what data center you choose, the most important factor is the services offered, followed by proximity to your primary audience. The advantage of working with a good data center is getting all of the benefits of access and not having headaches of being responsible for any infrastructure.

 

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IOT – Business Transformation by 2025

 

Internet of Things connected devices installed base worldwide from 2015 to 2025

 

By 2025, International Data Corporation (IDC) estimates that worldwide data will grow to 79.4 zettabytes (ZB), generated by 41.6 billion connected IoT devices, or “things,”. To be noted that there were an estimated 22 billion internet of things (IoT) connected devices in use around the world by the end of 2018.

 

This exponential  growth in the amount of data is explained by the growth in the number of connected devices, no matter of what size they are, they are everywhere in our daily life such as smart appliances (stoves, refrigerators, washers and dryers, coffee machines, slow cookers), Smart security systems, smart locks, and smart doorbells), Smart home hubs (that control lighting, home heating and cooling, etc.), Smart assistants (like Amazon Alexa or Apple’s Siri), Fitness and health trackers, sleep trackers, and smart scales, videos surveillance cameras etc. Thus, the link between the data creation and smart devices is obvious. Data is not only being gathered by smart home and smart surveillance but also via industrial and medical IOT as well by creating an increasing demand of the IT infrastructures, therefore more and more enterprises and service providers are now looking at IoT as a powerful source to drive digital transformation and to unlock the operational efficiencies.

 

IDC forecasts that the amount of data created by these connected IOT smart devices will reach to an annual growth CAGR (Compound Annual Growth Rate) of 28.7% between 2018-2020. This data is sent directly by sensors or via gateways to centralized platforms that gather, process, store, analyse and visualize this data to create insights and improve operational efficiencies of processes. Advances in AI and real-time communication are the main cause of this exponential growth in IOT. Enterprises are extracting a maximum of advantage from the data generated by IOT for better and faster decision-making, predictive analytics and automation of workforce. These digital transformations are bringing them numerous benefits such as higher productivity, GDP growth, improved corporate performance, and new prosperity.

 

IOT is not only shaping our lives but changing the traditional legacy business at a rate of change never seen before in history. Empowered by exponential increase in AI, computing power and availability of large amount of data, machines are fast learning to become workforce of future in several areas. As machines and products have started communicating with each other without any human intervention, the real value of data is getting generated and helping business leaders in better and faster decision-making, predictive analytics and automation.

 

In addition to that, 5G will reshape IOT and smart devices by boosting the speed, coverage and responsiveness of wireless networks. According to Aleksander Poniewierski, EY Global IoT Leader and partner, “IoT cannot thrive without effective and affordable wireless connectivity, interoperability and common standards. We believe 5G has the potential to make a ground-breaking impact on the way in which future IoT ecosystems are designed, especially in the areas of scalability, latency, reliability, security and the level of individual control on connectivity parameters.”

 

As IOT adoption in enterprises will reach to 65% in 2020, a 35% increase from 2017, IT and business leaders need to consider the extent to which they can use IOT to improve ROI, market competitiveness, and brand differentiation. They must be able to build digital security around potential sensitive personal and corporate data.

 

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