If you use a smartphone, a laptop, or other devices, you are likely you have encountered AI. Smart devices, Netflix recommendations, and products like Amazon's Alexa or even Google Home have Artificial Intelligence in them.
Many modern technological comforts use AI and are now part of the day to day lives. In addition, there are many innovative applications of AI and ML for instance Chef Watson of IBM that could form a quintillion combinations from only four ingredients.
AI-driven virtual nurses like Angel and Molly are saving the lives of people and reducing costs while things like AI-powered robots are helping in many things like invasive procedures or open-heart surgery.
Many companies are now seeking for Artificial Intelligence development solutions that align with their business needs.
Depending on the problem you want to address, you can get coding experts who understand much about AI development and they will be able to build an AI-powered system or software or app for your business.
1. Increased Use of ML and AI
The Gartner's 2019 CIO Agenda Survey shows that the percentage of businesses using Artificial Intelligence climbed from 4 percent to 14 percent from 2018 to 2019.
There are many benefits offered by ML/AI technologies including business analysis, research & development, risk assessment, and the resulting cost saving, it is no wonder that many organizations are not adopting the technology. A notable thing about the organizations that adopt ML/AI don't entirely understand the technologies. There are possible unexplored ways that businesses could use these technologies to further their growth and scalable their operations.
Forbes has noted that about 40 percent of companies in Europe that claim to be AI start-ups do not actually use the technology.
Although the perks for using ML and AI are now evident, organizations have to step up and bring in individuals with the expertise to implement the technologies. And that may be happening soon as the recent KPMG's survey suggests. According to the survey, most of the Global 500 companies surveyed, they said that they expect to see their investment in Artificial Intelligence related talent to rise by 5 to 100 percent within the next three years.
2. Transparency Heightening in AI
Although a ubiquitous technology, Artificial Intelligence faces issues of trust. Businesses would want to be confident as they plan to scale up their use of Artificial Intelligence systems.
No business would want to trust the decisions made in systems they can't understand. So, enterprises will be pushing for the deployment of technology in a clearly defined and transparent manner in 2020.
Companies have to make efforts to gain an understanding of how models based on AI work and at the same time, the software providers of AI/ML have to make it simple for the companies to understand the complex ML solutions by making explanations to the users.
When Artificial Intelligence developers are building AI-driven apps or software products, they need to consider explaining to the businesses how this technology works and integrates with other systems of the business.
This way, the businesses will feel confident when using the apps.
3. Increased Data Security and Regulations
Organizations need to protect their data because it's one of the most valuable resources they have. With ML and AI being adopted, there is going to be an increased amount of data that they can handle which also means an increased risk that comes with it.
Today, businesses archive and backup huge amounts of personal data and it is projected that the data will be a top privacy risk in 70 percent of organizations in the year 2020. The California Consumer Privacy Act expected to be effected in 2020, and the GDPR have both made the violation of privacy an expensive affair.
The Information Commissioner's Office (ICO) in 2019 alone issues fines estimated to be over $300 million to Marriot International and British Airways for GDPR violations. Organizations are under pressure to ensure they meet the rules and regulation meaning that they will need to employ data scientists as well as analysts to remain complaint.
4. Overlapping of IoT and AI
Internet of Things (IoT) and Artificial Intelligence (AI) have blurring lines although both technologies possess independent qualities.
That said, these technologies are bringing in unique opportunities to organizations. The working together of IoT and AI is touted as the reason there are smart voice assistants like Siri and Alexa.
In terms of working together, you can imagine IoT being the nervous system and the AI as the digital brain that makes decisions.
AI can garner insights from huge data making the Internet of Things to be more intelligent. The research company Gartner projects that by the year 2022, an estimated 80 percent of IoT projects involving enterprises will incorporate AI at some capacity compared to 10 percent in 2019.
5. Augmented Intelligence to Increase
Augmented Intelligence offers both some of the best capabilities for technology and humans something that gives organizations the chance to improve efficiencies and performance within their workforce.
Many people may have been worried that Artificial Intelligence would take up their jobs - for instance, robots could replace humans in the workplace, however, that cannibalization fades away with the introduction of Augmented Intelligence. Gartner has predicted that about 40 percent of operations teams and infrastructure within big enterprises will use AI-Augmented automation leading to increased productivity.
Employees in these companies need to have skills in data science in addition to analytics. They also need to upskill on what's trending in ML and AI technologies in order to achieve optimal results.
A majority of AI development services will embrace Augmented Intelligence coding when building AI-driven applications for businesses.
This will help in intertwining humans and technology.
6. AI to Make Healthcare Less Costly and More Accurate
The Chief Innovation and Strategy Officer at Philips Jeroen Tas said that AI will work towards transforming the workflows in healthcare in 2020.
This will not only benefit the healthcare professionals but also the patients while being able to reduce costs. AI is able to acquire data instantly and in real-time from different hospital-information flows including emergency department admissions, electronic health records, equipment utilization, levels of staffing and other data.
Being able to interpret and analyze that data, Artificial Intelligence will allow efficiencies and enhance care capabilities.
Hospitals will see optimized scheduling, automatic initialization of hospital equipment settings, and automated reporting, according to Tas. As a result, these processes will be customized to reflect the individual clinician's style of working in addition to the individual patient's condition.
These features help improve the experience of hospital workers and patients - contributing to better results and reduced costs.
In most healthcare systems, there is too much waster related to sophisticated administration processes, over-and-under diagnosis, lack of preventive care, and under or over treatments.
These are things that Artificial Intelligence can help streamline. In Command Centers, AI will see a huge impact that will optimize the flow of patients and the allocation of resources.
Philips has been a key player when it comes to the development of AI-enabled apps that are seamlessly integrated into the healthcare workflows. Presently, one in every two Philips researchers in the globe works with AI and data science bringing in new ways to apply the technology in the changing healthcare environment.
Read the Blog: How Artificial Intelligence and Augmented Reality Are Helping Entrepreneurs to Provide Better Customer Experience
Tas points out that combining AI along with expert clinical as well as domain knowledge is going to hasten routine and simple diagnoses, although not necessarily replacing clinicians.
What happens is that clinicians will have more time so that they can focus on the complex and difficult decisions that are found in individual patient's care. The use of AI will help track, predict, as well as support the allocation of acuity of patients and availability of healthcare staff, operating rooms, ICU beds, and diagnosis or even therapeutic equipment.
Healthcare facilities and hospitals or clinics that need AI-powered apps to help in meeting the demands of their patients and streamline operations may want to seek the help of an AI development company.
Depending on what the healthcare facility wants to solve, an appropriate app can be built.
7. AI to be less Data-Hungry
The CEO and Co-founding partner of Affectiva, Rana el Kaliouby said that there will be increased data synthesis methodologies to help in combating data challenges within the Artificial Intelligence space.
Normally, deep learning techniques tend to be data-hungry which means that Artificial Intelligence algorithms developed on deep learning may only perform accurately if they are trained and validated on huge data amounts. Companies developing AI, however, find it challenging to get access to the appropriate data and the right volumes of data.
Researchers in the area of AI are testing and using emerging data synthesis technologies to triumph over the limitations of data available to them in the real world.
Such methodologies will help companies to get garnered data and synthesize it to form new data. For instance, el Kaliouby says that in the automotive industry there is growing interest to discover what happens with people in a vehicle at a time when the industry is working to build advanced driver safety features while also personalizing the transportation experience.
Usually, it is very time-consuming, expensive, and difficult to collect driver data in the real-world. That means, with the help of data synthesis, it will help address these problems.
Take, for example, if you have collected a video of a driver driving his car, that data could be used to create new scenarios for example, to simulate the driver turning his head or wearing sunglasses or a hat.
It is now possible for many industries to synthesize or make their own training data, thanks to the advances seen in areas such as the GAN or generative adversarial networks.
A point to mention here though is that while data synthesis may be crucial, it does not eliminate the need for having real-world data.
8. Increased Use of AI in Manufacturing
The manufacturing industry is expected to take a leap into AI usage in 2020. The use of AI in the industry will help in modernizing the production line, according to CRO and the co-founding partner of Neurala, Massimiliano Versace.
One of the challenges that are seen in the manufacturing industry is inspecting each individual product or component amidst a target deadline for massive orders. Integrating AI in the process would provide a solution to the workflows. Artificial Intelligence will augment and address such challenges.
Conclusion
Businesses and analytics are looking forward to seeing how AI and ML transform in 2020. There are lots of expectations when it comes to these technologies and it's protected that many innovations will be brought to the table.
Although ML and AI have been around for some time, they aren't yet mature and organizations haven't fully adopted them. For businesses that want to adopt these technologies, they need to seek help from professionals or ensure their employees learn the technologies for easier deployment.
