Data as a Service: Enterprise search benefits from Artificial Intelligence and Machine Learning

According to IDC, data as a service, voice-controlled apps, and AI-based services are the most important IT trends of the coming years. Data marketing and data analysis are among the most important challenges for companies. IDC expects that the amount of data created in 2023 will reach over 100ZB, one trillion gigabytes), most organizations also need to turn to external data in order to execute a variety of business processes. This translates into more than 90% of large companies generating their revenue from data as a service.

Digital Era ARTIFICIAL INTELLIGENCE MACHINE LEARNING

This is the provision of information and distribution of data for customers. AI-based services and machine learning methods help to interpret data and are therefore becoming increasingly important. In the future, digital services or apps will hardly be able to keep up with the market without the support of artificial intelligence. Artificial intelligence (AI) is a driving force behind digital transformation, encompassing innovations such as machine learning, natural language processing (NLP), data labeling platforms, and predictive analytics. According to IBM 35% of companies report using AI in their business, and an additional 42% of respondents say they are exploring AI.

 

The latest report by Research and Markets also shows that AI is expected to achieve a compound annual growth rate of 52% by 2025, indicating its rapid adoption by global businesses. The global AI spending reached over $55 billion in 2021 (IDC) and the AI market is expected to grow to $1.81 trillion by 2030 (GrandViewResearch). By 2023, 60% of all digitization projects will be supported by artificial intelligence functions and almost half of all apps will be voice controlled. One survey also found that 87% of global organizations believe that AI technologies will give them a competitive edge.

 

The majority of companies are using machine learning processes in marketing & sales, healthcare, banking, manufacturing, and retail sectors. The machine processing of language is becoming increasingly important. Self-learning systems that process complex amounts of data in real time are also gaining importance. AI-based systems are expected to take on more and more tasks and relieve entire departments.

 

The benefits from artificial intelligence and machine learning are numerous:

  • 42% of companies stated that the profitability of their ML and AI initiatives exceeded their expectations, while only 1% said it didn’t meet expectations. (Accenture)
  • By 2025, 50% of companies will have devised AI orchestration platforms to operationalize AI, up from fewer than 10% in 2020.Gartner 
  • Global machine learning as a service (MLaaS) is currently used mostly in healthcare and life sciences, but it is expected to grow in industries including manufacturing, retail, telecom, finance, energy and utilities, education, and the government.
  • 92.1% of companies state they are achieving returns on their data and AI investments. (NewVantage Partners)
  • AI-powered enterprises will be able to respond 50% faster to customers, competitors, regulators, and partners than their peers. (Oracle)
  • AI and machine learning will contribute to the labor productivity increase by up to 37% by 2025.  Industry, Research and Energy (ITRE),
  • 27% of the respondents of the latest McKinsey Global Survey on AI report at least 5% of earnings before interest and taxes attributable to machine learning-based AI.
  • PwC research shows that the global GDP could be up to 14% higher in 2030 (up to $15.7 trillion1 to the global economy) as a result of the ML and AI accelerated development and take-up. (PwC)
  • According to PwC research, 45% of total economic gains by 2030 will be the result of AI-driven product enhancement, stimulating consumer demand.
  • IBM’s new cognitive phishing detection capability uses machine learning to help businesses detect a phishing site up to 250% faster than traditional methods.

COVID19: Digitization Recovery Plan for 2021

 

To help repair the economic and social damage caused by the coronavirus pandemic, digitization will continue to boost in 2021. All those lock-down measures in response to the coronavirus outbreak have frozen the economic activity in certain sectors and harshly disrupted others, which resulted in worldwide unemployment and bankruptcies. In order to overcome all restrictions in the contactless world, citizens and businesses are relying on the internet and connectivity as social and economic activities became more digital.

 

What is now very clear, is that COVID-19 has accelerated digitalization. IT decision-makers are under pressure with using new technologies to modernize legacy processes and recognize and implement new business model innovation opportunities, more than ever before. All digital business transformations must begin and end with a crisis recovery plan and must reinforce companies’ foundations for a modern and more sustainable future. Additionally, as customers are getting more used to doing things digitally. This opens up opportunities for businesses to introduce new products and to reduce costs. The Belgian government has also agreed on an investment package of 4,3 billion EUR in digitalization, sustainability, education, health care, R&D, 5G, mobility.

 

Here below are the top digital transformation trends that will shape 2021.

 

  • Businesses’ journey to the cloud will accelerate in order to digitize quickly and effectively in the response of COVID-19. Across industries, this acceleration will result in their digital business transformation for long-term growth and profitability. This migration of infrastructure and applications to the cloud will enable leaders to innovate quickly, by significantly reducing development and solution delivery cycles, empowering operational efficiency through cost optimization, and benefiting from real-time accessibility of data.

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  • Companies will invest in 5G in order to enhance the experience of workforce mobility (remote work), videoconferencing, and digital collaboration. This adoption is motivated by the need for more bandwidth, faster speeds, reliable and resilient connectivity as businesses cannot afford to be disconnected. 5G will boost the company’s existing network by providing diverse connectivity, to ensure scalability for growth and business continuity with a faster response time, delivering a quality user experience subsequently increasing productivity and customer service. The IEEE 2020 Global Survey of CIOs and CTOs surveyed 350 CIOs or CTOs in the US, China, UK, India, and Brazil from Sept. 21-Oct. 9, 2020, revealed that 52% have accelerated 5G adoption. Doubtlessly, with all these earlier mentioned benefits, the value and adoption of 5G will become increasingly mainstream in 2021.  Additionally, by 2030, 5G modules are expected to account for almost 30 percent of total B2B 5G IoT module revenues.
  • Worldwide industries will turn their attention to robot resilience in 2021. Organizations will accelerate automation projects more critically. With intelligent automation projects, ROI is realized instantaneously, offsetting the upfront investment. Automation (RPA) allows organizations to automate certain types of work processes to reduce the time spent on costly manual tasks and reallocate resources elsewhere. Software robots will automate the work of most people by taking the unpredictable, dreary, and monotonous tasks, faster and with fewer mistakes, while human capital resources will be assigned to higher-value tasks or to fill critical gaps.
  • COVID-19 has forced companies all over the world to adapt to and embrace remote work. With the safety concerns that continue to grow, companies are negotiating remote work policies as their business strategy for the long term. Even though many companies succeeded in the rapid transitions to remote work, they are realizing that remote work is here to stay. Companies and employees are realizing the significant benefits of remote work, such as increased flexibility, autonomy and productivity, better work and life balance, lowered business expenses, etc. according to a Gartner study, 74% of CFOs and Finance Leaders say that they will move at least 5% of their employees to remote working permanently post-pandemic, another 25% of the participants say they will move 10% of their workforce to remote working permanently.
  • Countries around the world are working on more comprehensive and accessible electronic health records. The access of the patient to his medical record by electronic means is part of the eHealth Action Plan validated by all the Belgian ministers of health. By simply asking your healthcare provider to activate the option, you can access to the contents of your documents. The online medical record allows the patient to have their health record at any time. Additionally, the AI healthcare market is expected to exceed $34 billion by 2025 as artificial intelligence is already playing a huge role in the digital transformation of healthcare. In fact, AI is being used currently for AI-assisted robotic surgery, assist pathologists in making more accurate diagnoses and treat illness, detect cancer in its earliest stages and subsequently develop new treatments, and doctors are using AI-enhanced microscopes to scan for harmful bacteria’s in blood samples at a faster rate than is possible using manual scanning.

 

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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

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    • 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.

 

Sources:

 

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Artificial Intelligence – Existing Educational Systems and Next Generation Jobs

Artificial Intelligence in education

 

Artificial intelligence has existed as a field for more than 50 years, but in pace with technological developments in recent years, the area has found increasing numbers of applications and has been the subject of increasing attention. New methods and technologies mean that the mobile phone not only understands what we say, but also translates between languages ​​as quickly as we speak, recognizes faces. There are methods and technologies of artificial intelligence that lie at the core of self-driving cars and robots that perform precise surgical procedures. Facial recognition in stores, robotic sellers who submit offers based on past behaviors, facial recognition in stores, language assistants (like Alexa or Google Home) who are always listening and making recommendations based on recorded conversations. Al is a subject area that is changing how we live and work and how the future will be.

 

With all these AI advances, the demand for expertise in artificial intelligence has exploded. Graduates are employed before they finish their education and receive millions of salaries. Analysts believe that 2020 will be an important year in terms of AI in the workplace and claim that artificial intelligence will create 2.3 million jobs worldwide that year.

 

The most important thing to remind here is that software and tools based on artificial intelligence reflect the culture, preferences and background of developers. Therefore, it is crucial for each country to build its own strong expertise in the field, both in research and education. An investment in artificial intelligence can only succeed if it is based on a general strengthening of the ICT subject. Here it is necessary to strengthen the competence and education at all levels, as well as to promote the interaction between theory and technology, and between research and application.

 

To be on the top of AI game, governments should aim to develop internationally strong research environments in the field. This must be done by building on and strengthening the existing research networks and the environments within artificial intelligence in their own country and helping to position these in European and international networks. It is important to link up with the strategies for artificial intelligence in Europe, and adapt to the EU’s strategies, compliances and framework conditions for research and development.

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In order for a strategy for artificial intelligence to succeed, it should put man in the center. It should aim for the entire population to be able to exploit the new tools the field brings in a reflective way where they are able to judge the weaknesses and strengths.

 

Artificial intelligence is not only important for innovation, growth and competitiveness, but for how we want to work and live in the future. Increasing the overall digital competence is also necessary in view of the ethical challenges associated with this development.

 

Education systems needs to be brought up to date to reflect that we now live in a world where problem-solving and creativity are becoming more important assets. Regurgitating knowledge is something that you can automate very easily, but with actual education system, isn’t preparing children for the modern workforce.

 

No need to repeat that for students, AI will inevitably impact their careers. The AI era is inevitably creating new job types, ranging from machine regulators to emotion engineers. McKinsey predicts that AI will replace up to 800 million jobs by 2030. That’s a drastic reshaping of the workforce — and one that universities should help students prepare for. Students interested in careers in AI can pursue a wide range of exciting new career possibilities focused on data science, machine learning or advanced statistics.

Connected and intelligent products: what strategy you should adapt to monetize the Internet of Things?

If you own a small/ medium or a global industry, you’ve certainly entered a level in the Internet of Things (IoT) and have probably invested in infrastructure and strategies. Why? I think it’ll be enough to say that this technology opens up a whole new source of product opportunities, development of existing products or of “business models”.

A recent study done by McKinsey entitled “Unlocking the potential of the Internet of Things” revealed that the business prospects of the IoT are astronomical as it evaluates between $3.9 and $11.1 trillion per year by 2025! In this new economy, it seems that three critical strategies must be addressed.

 

the IoT _ Internet of things

 

    • Product-as-a-Service

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Products of IoT are smart and connected. But to take full advantage, it’s essential to move towards a model based on subscriptions, and more specifically, to realize that for a user (i.e. a potential subscriber), quality of customer experience is greater than the product itself. Thus, the McKinsey study points out that the ability to monitor devices on the same customer site allows the manufacturer to market them as “services” with the new possibility offered by the IoT by introducing a pay per use business model. No doubt that this business model has many other benefits: to guide the development of new products, cross selling or additional sales, etc. As noted by the study: “This approach allows service providers to build relationships more “intimate” with their customers in which competitors will have great difficulty to interfere.”

 

Many questions about this transition from products to services remain. Now, it is indeed a trend in the market, as evidenced by numerous creations of companies whose success and valuation have not denied. Recall, for example, Apple recently began marketing its hardware through outright membership. Many saw it as a simple competitive response, reproducing the model already offered by major market participants. However, as evidenced by a recent market study by Goldman Sachs, the growth prospects are well beyond this perception simply a reactive attitude to competition. In its report “Market Conviction,” Goldman Sachs strongly recommends buying Apple shares and specify their target listing at $160 per share – a gain of some 50% from its current closing price! Why? Monetization services. The merger of its services and materials in a comprehensive subscription system is indeed now the most promising form of development because of its high value.

 

A recent interview with Andy Mattes, CEO of Diebold (leading manufacturer and distributor of ATM) focused on how to maximize the creation of shareholder value in the context of a recent buyout and change the competitive landscape. The discussion was organized around two key issues: first, the ability of Diebold to optimize production and to integrate biometric technologies to its intelligent connected devices and the other, his propensity to create value by marketing production as a service, which’ll have a direct impact on his company’s shares value. How? By increasing margins, providing cost-effective and customer-centric software solutions. Such examples are now commonplace in the extent that the pay per use billing model are more favorable to the customer through monitoring tools and measuring product use.

 

Whether in B2B or B2C field, the Internet of Things has the ability to transform virtually any product in use, and therefore create ideal foundation to build closer and lasting relationships with customers. The operational challenge for companies is therefore to build a transitional infrastructure allowing them to adopt a mode of development centered on the new subscription model.

 

    • Be aware of the behavior of your product/service subscribers

 

Connectivity is not something that is confined to humans. In fact, the number of connected devices has long surpassed the number of humans on the planet. We note today that consumers will own more and more connected devices of all kinds – their cars, their home automation systems and other various connected devices. However, to succeed in this area, it’s certainly not enough to “stick” sensors on a given object to turn it into a “smart product”. It’s a challenge to think in terms of “value creation”; a trend recognized by many companies. The new connected health assistant launched by Visiomed is a good example. With the critical data collected from the patient, this wizard allows a new experience of health through the power of artificial intelligence that has demonstrated 87% consistent diagnoses and complementarity of e-consultancy platform.

 

This notion of the expected end result is also crucial in the world of the Internet of Things for the general public. Nest is not just a thermostat. Instead it shall be considered a “brain Automation”, capable of storing heating habits, to issue warnings of the presence of certain particles in the air. Similarly, vehicles benefiting from Autonet mobile connections have permanent diagnostic system allowing for example to generate alerts to plan the control of vehicle emissions, control the speed of a young driver, sent notifications to chosen contacts when airbags are deployed etc.

 

To meet the expectations of discerning consumers and to better inform them, it is therefore essential to develop services that can “learn” and adapt their behavior to improve themselves fully autonomously.

 

    • Monetizing and securing data

 

The Internet of objects leads to a radical change in the safety concept. The recent “piracy” of Cherokee Jeeps showed that a connected car is likely to be diverted away, even if the driver is at the wheel! Always keep in mind that this type of threat is expected to grow in the same proportion as the explosion of the number of connected devices.     Thus you must NOT underestimate the brain power of a hacker!

 

The safety of the Internet of Things requires indeed implementation of two basic security principles: a robust authentication system and highly secure communication system. A leading solution that supports these two features exists since decades through public key infrastructure (PKI). This system establishes indeed a platform of “trust” with strong authentication/identification services and encryption mechanism based on digital certificates.

 

It’s not certain that the PKI environment is ideal for long term; however, so far it’s the best option for all companies active in the IoT objects wishing to protect their customers – and by the same- their own reputation. There is no doubt that now data security presents same priority like physical security for all companies involved in the IoT.

 

In short: The Customer is ALWAYS the King!       

 

New business models constantly change over the progress of the Internet of things to offer increasingly demanding customers new consumption patterns. In this new context, the winners will be undoubtedly those who will have evolved rather quickly towards centered subscriptions approaches and commercialization of products as a service (PaaS). It’s a challenge that can seem overwhelming to some as far as it’s actually considered as a true organizational reconstruction and completely rethinking its existing management systems. As always, the precursors will be tomorrow’s leaders in their respective markets.

 

The Internet of Things certainly raises many issues but no doubt, those who’ll dive in and take part of this adventure will be the winners of this connected world. This is why you must focus on customer needs for services rather than thinking in terms of creating new generations of products.

 

What your customer needs? What results do they expect? And finally, what security measures you can implement to protect them? If you have answers of these questions you have enough power to be a leader in your sector.

 

Sources:

 

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