Article | March 2, 2020
When people discuss artificial intelligence, they're often interested in how it's helping businesses streamline complex business processes and make customer service interactions more interactive. Or people think AI is a force of evil that will replace humans one day. But AI is actually doing lots of good. It's solving some of the world's biggest problems, whether it's achieving medical marvels, fighting rhino poachers, or helping police catch child abusers.
Article | March 17, 2020
Many famous personalities, such as Stephen Hawking, Bill Gates and Elon Musk, have repeatedly said that the further development of artificial intelligence is associated with many potential risks. Exponential growth led to the creation of extremely advanced algorithms much earlier than anticipated. At the same time, technology is penetrating deeper into our lives, starting to be responsible for the stable operation of many applications and even the physical infrastructure. This article will examine the main global threats associated with AI and where we should draw the line.
Article | August 13, 2020
The coronavirus outbreak in China has grown to a pandemic and is affecting the global health & social and economic dynamics. An ever increasing velocity and scale of analysis — in terms of both processing and access is required to succeed in the face of unimaginable shifts of market; health and social paradigms. The COVID-19 pandemic is accompanied by an Infodemic. With the global Novel Coronavirus pandemic filling headlines, TV news space and social media it can seem as if we are drowning in information and data about the virus. With so much data being pushed at us and shared it can be hard for the general public to know what is correct, what is useful and (unfortunately) what is dangerous. In general, levels of trust in scientists are quite high albeit with differences across countries and regions. A 2019 survey conducted across 140 countries showed that, globally, 72% of the respondents trusted scientists at “high” or “medium” levels. However, the proportion expressing “high” or “medium” levels of trust in science ranged from about 90% in Northern and Western Europe to 68% in South America and 48% in Central Africa (Rabesandratana, 2020).
In times of crisis, like the ongoing spread of COVID-19, both scientific & non-scientific data should be a trusted source for information, analysis and decision making. While global sharing and collaboration of research data has reached unprecedented levels, challenges remain. Trust in at least some of the data is relatively low, and outstanding issues include the lack of specific standards, co-ordination and interoperability, as well as data quality and interpretation. To strengthen the contribution of open science to the COVID-19 response, policy makers need to ensure adequate data governance models, interoperable standards, sustainable data sharing agreements involving public sector, private sector and civil society, incentives for researchers, sustainable infrastructures, human and institutional capabilities and mechanisms for access to data across borders.
The COVID19 data is cited critical for vaccine discovery; planning and forecasting for healthcare set up; emergency systems set up and expected to contribute to policy objectives like higher transparency and accountability, more informed policy debates, better public services, greater citizen engagement, and new business development. This is precisely why the need to have “open data” access to COVID-19 information is critical for humanity to succeed. In global emergencies like the coronavirus (COVID-19) pandemic, open science policies can remove obstacles to the free flow of research data and ideas, and thus accelerate the pace of research critical to combating the disease. UNESCO have set up open access to few data is leading a major role in this direction. Thankfully though, scientists around the world working on COVID-19 are able to work together, share data and findings and hopefully make a difference to the containment, treatment and eventually vaccines for COVID-19.
Science and technology are essential to humanity’s collective response to the COVID-19 pandemic. Yet the extent to which policymaking is shaped by scientific evidence and by technological possibilities varies across governments and societies, and can often be limited. At the same time, collaborations across science and technology communities have grown in response to the current crisis, holding promise for enhanced cooperation in the future as well.
A prominent example of this is the Coalition for Epidemic Preparedness Innovations (CEPI), launched in 2017 as a partnership between public, private, philanthropic and civil society organizations to accelerate the development of epidemic vaccines. Its ongoing work has cut the expected development time for a COVID-19 vaccine to 12–18 months, and its grants are providing quick funding for some promising early candidates. It is estimated that an investment of USD 2 billion will be needed, with resources being made available from a variety of sources (Yamey, et al., 2020).
The Open COVID Pledge was launched in April 2020 by an international coalition of scientists, lawyers, and technology companies, and calls on authors to make all intellectual property (IP) under their control available, free of charge, and without encumbrances to help end the COVID-19 pandemic, and reduce the impact of the disease. Some notable signatories include Intel, Facebook, Amazon, IBM, Sandia National Laboratories, Hewlett Packard, Microsoft, Uber, Open Knowledge Foundation, the Massachusetts Institute of Technology, and AT&T. The signatories will offer a specific non-exclusive royalty-free Open COVID license to use IP for the purpose of diagnosing, preventing and treating COVID-19.
Also illustrating the power of open science, online platforms are increasingly facilitating collaborative work of COVID-19 researchers around the world. A few examples include:
1. Research on treatments and vaccines is supported by Elixir, REACTing, CEPI and others.
2. WHO funded research and data organization.
3. London School of Hygiene and Tropical Medicine releases a dataset about the environments that have led to significant clusters of COVID-19 cases,containing more than 250 records with date, location, if the event was indoors or outdoors, and how many individuals became infected. (7/24/20)
4. The European Union Science Hub publishes a report on the concept of data-driven Mobility Functional Areas (MFAs). They demonstrate how mobile data calculated at a European regional scale can be useful for informing policies related to COVID-19 and future outbreaks. (7/16/20)
While clinical, epidemiological and laboratory data about COVID-19 is widely available, including genomic sequencing of the pathogen, a number of challenges remain:
1. All data is not sufficiently findable, accessible, interoperable and reusable (FAIR), or not yet FAIR data.
2. Sources of data tend to be dispersed, even though many pooling initiatives are under way, curation needs to be operated “on the fly”.
3. In addition, many issues arise around the interpretation of data – this can be illustrated by the widely followed epidemiological statistics. Typically, the statistics concern “confirmed cases”, “deaths” and “recoveries”. Each of these items seem to be treated differently in different countries, and are sometimes subject to methodological changes within the same country.
4. Specific standards for COVID-19 data therefore need to be established, and this is one of the priorities of the UK COVID-19 Strategy. A working group within Research Data Alliance has been set up to propose such standards at an international level.
Given the achievements and challenges of open science in the current crisis, lessons from prior experience & from SARS and MARS outbreaks globally can be drawn to assist the design of open science initiatives to address the COVID-19 crisis. The following actions can help to further strengthen open science in support of responses to the COVID-19 crisis:
1. Providing regulatory frameworks that would enable interoperability within the networks of large electronic health records providers, patient mediated exchanges, and peer-to-peer direct exchanges. Data standards need to ensure that data is findable, accessible, interoperable and reusable, including general data standards, as well as specific standards for the pandemic.
2. Working together by public actors, private actors, and civil society to develop and/or clarify a governance framework for the trusted reuse of privately-held research data toward the public interest. This framework should include governance principles, open data policies, trusted data reuse agreements, transparency requirements and safeguards, and accountability mechanisms, including ethical councils, that clearly define duties of care for data accessed in emergency contexts.
3. Securing adequate infrastructure (including data and software repositories, computational infrastructure, and digital collaboration platforms) to allow for recurrent occurrences of emergency situations. This includes a global network of certified trustworthy and interlinked repositories with compatible standards to guarantee the long-term preservation of FAIR COVID-19 data, as well as the preparedness for any future emergencies.
4. Ensuring that adequate human capital and institutional capabilities are in place to manage, create, curate and reuse research data – both in individual institutions and in institutions that act as data aggregators, whose role is real-time curation of data from different sources.
In increasingly knowledge-based societies and economies, data are a key resource. Enhanced access to publicly funded data enables research and innovation, and has far-reaching effects on resource efficiency, productivity and competitiveness, creating benefits for society at large. Yet these benefits must also be balanced against associated risks to privacy, intellectual property, national security and the public interest.
Entities such as UNESCO are helping the open science movement to progress towards establishing norms and standards that will facilitate greater, and more timely, access to scientific research across the world. Independent scientific assessments that inform the work of many United Nations bodies are indicating areas needing urgent action, and international cooperation can help with national capacities to implement them. At the same time, actively engaging with different stakeholders in countries around the dissemination of the findings of such assessments can help in building public trust in science.
Article | July 14, 2021
The world has started stepping into the “new normal” era. With the boost in vaccine inventions and countries rapidly vaccinating their citizens, we will be back to living a ‘new normal’ life. We keep mentioning normal as the ‘new normal’ because things will never be the same as before the pandemic.
A majority of changes have happened for the best. Nevertheless, challenges emerged in the pandemic, and these were answered by innovations. Let us precisely talk about the innovations in software development trends.
Digitalization played a vital role in transforming society and overcoming the hurdles created by the pandemic. Hybrid working style, chatbots, IoT, AI, and development in applications to improve performance and customer experience are the key software development trends that are on the rise.
Growth Predictions Post Pandemic
● 63.3% of companies consider accelerated digital transformation.
● IaaS market solutions will be worth $64 billion.
● Online sales will account for 22% of global retail (currently it is 14%)
● The utilization of low code products will reach 50%.
● The outsourcing services industry is estimated to reach more than $66 billion.
Software development trends have led to a boom in the software industry. As a result, all the sectors have turned towards software for solutions. Observing this change of scenario, here are some of the predictions on software development trends that will rule the industry by 2022.
Software Development Trends
The combination of AI and Big Data with IoT has led to significant changes in the IoT industry. IoT has profoundly incorporated its way into daily human life. It eases everyday chores by connecting all the devices with sensors and syncs them automatically. The machines understand our timely needs and act subsequently.
IoT has come a long way from just connecting the phone and the laptop. Instead, the day starts with Alexa, Siri, or Google. From telling them to turn on your coffee maker to adjusting your AC temperature, every little thing is manageable by the internet of things!
As a result, more and more devices are built with sensors to simplify everyday processes. Thus, IoT is one of the software development trends to be utilized in various sectors by 2022.
IoT has groundbreaking potential and has been adapted in smart cities. The smart cities project is a possibility only because of IoT.
Progressive Web Apps (PWA)
Progressive Web Apps are a trend in software development that is gaining popularity in these challenging times. PWA are apps that combine the functions of native apps and website accessibility. They provide the same user experience as native apps without having the hassle of upgrading and installing for web or mobile devices.
Easy maintenance, one codebase, easily searchable, lightweight, and operating offline are some of the advantages of progressive web apps. PWA is here to stay and is the latest in software development.
It is progressive, responsive, connectivity-independent, secure, easily installable, and linkable. As a result, many companies are switching their websites and apps to PWA for hassle-free code development and a great user experience.
Be it software developers, web developers, or users, low-code development is a hit amongst all. This new technology in software development saves time, is fast and intuitive. The long hours spent in coding every line are held by low code development. Herein the code is sketched like a flowchart and fed into the machine. As a result, a lot of manual effort is saved.
Low-code development is one of the latest technologies in software and the future of the software industry. Traditional developers thought that this process did not have much potential, but the pandemic changed this thought. Low-code development will allow people with little digital skills to digitalize their ideas.
Building apps quickly is the need of the hour, and low code development helps achieve that. This trend will also help in bridging the gap between the supply and demand of software engineers.
AR (Augmented Reality)
Augmented reality has appallingly changed the marketplace. Customers can virtually try new makeup or beauty products without even touching the product. The beauty industry has seen incredible conversion while using AR for its marketing. Similarly gone are the days of 2D mapping. AR has managed to bring 3D mapping into our lives. Be it gaming or navigation; augmented reality has strongly made things attractive.
AR is a hit in advertisements. Companies are luring customers by adding filters or creating environments in apps. This has shown great conversion numbers to the businesses. This is because AR is software that is more than visually appealing. It improves functionality, enhances effectiveness, and creates brand value. As a result, we are going to see more from this technology in 2022.
Using Big Data is building credibility. Security has a whole new meaning post-Covid-19. The public has become aware of the information that it will allow access to. This has led to a boost in the use of Big Data.
By 2022 Big Data can be used as DaaS (Data as a Service). This will allow companies to access the required data, and thus redundancy is avoided.
The use of Big Data has proven to provide data-driven solutions. It is giving the customers exactly what they are looking for. And this can be achieved only when you have proper segregation and security of a large amount of data.
Netflix has proven its popularity by utilizing Big Data and giving the viewers the exact content they are looking for.
Thus, Big Data is a software trend that will be a compulsion for companies to adapt in the future.
AI (Artificial Intelligence)
This list would be incomplete without mentioning the hottest software trend in the market these days. In the last five years, AI is one industry that has gained tremendous momentum. This is because machines are trained to think and perform tasks that were possible only for humans.
The combination of machine learning, deep learning, neural networks, and machine control has already enhanced customer experience in various sectors. The improved user experience, better efficiency, less prone to errors, reduced costs, and increase in ROI have made AI a dominant trend in the technology world.
By 2022 there will hardly be a sector that has not implemented AI. From the demand and supply chain industry to predicting stock markets, we will see a lot of AI everywhere.
Conclusion: Be Ready for 2022!
These are some of the predictions of software development trends 2022. There will be enormous changes in the lifestyle, working style, and adaptive measures taken by humans. And in this changing era, technology trends will guarantee maximum productivity along with comfort.
As the pandemic unfolds and most of the population gets vaccinated, there will be turning points in the latest software trends and the IT industry. There will be minor glitches and fluctuations, but these newest software development trends will help overcome them all. They assure an increase in revenues and adding value to the brand of the company.
Software development is not just a trend in software engineering but a process of continuous innovation. Of course, the predictions of technological processes are pretty unpredictable as inventions surge. But one predictable thing is that game-changing technology trends will keep emerging, and there are no stopping innovations in these fields.
Frequently Asked Questions
What are the top 3 emerging technologies in software?
AI (Artificial Intelligence) dominates the emerging technology industry, followed by IoT (Internet of Things) and then AR (Augmented Reality), VR (Virtual Reality), and MR (Mixed Reality). These play a predominant role in changing the face of technology.
What is trending in software development nowadays?
The current trends in software development are AI chatbots, powerful programming languages, and active incorporation of IaaS, PaaS, SaaS, DaaS to provide flexibility and improve productivity. These effective solutions are implemented to build apps, websites, manage hybrid working culture, and ease communication processes between teams.
Why should you track trends in software development?
It is the need of the hour to digitalize the business. If you keep up with the rapidly changing software trends, you can be distinguished from your competitors, and it will help you stay ahead of the race. Your products/services will be productive, efficient, and trusted by the customers.
If you do not digitalize your businesses and incorporate the required technology, your business will cease to exist.
"name": "What are the top 3 emerging technologies in software?",
"text": "AI (Artificial Intelligence) dominates the emerging technology industry, followed by IoT (Internet of Things) and then AR (Augmented Reality), VR (Virtual Reality), and MR (Mixed Reality). These play a predominant role in changing the face of technology."
"name": "What is trending in software development nowadays?",
"text": "The current trends in software development are AI chatbots, powerful programming languages, and active incorporation of IaaS, PaaS, SaaS, DaaS to provide flexibility and improve productivity. These effective solutions are implemented to build apps, websites, manage hybrid working culture, and ease communication processes between teams."
"name": "Why should you track trends in software development?",
"text": "It is the need of the hour to digitalize the business. If you keep up with the rapidly changing software trends, you can be distinguished from your competitors, and it will help you stay ahead of the race. Your products/services will be productive, efficient, and trusted by the customers.
If you do not digitalize your businesses and incorporate the required technology, your business will cease to exist."