Machine Learning

Trend #1: AI-assisted programming will take the centre stage

As technology progresses, streamlining and automating repetitive tasks has become increasingly important. AI-assisted programming has become a popular solution to increase workflow efficiency. One prominent AI-assisted language model that has revolutionized the way we think is ChatGPT. Alongside other well-known AI-assisted programming tools such as Kite, Codota, TabNine, GitHub, CodeWhisperer, and others, these AI-powered tools easily integrate with popular code editors to simplify the developer’s workload.

Looking forward to 2023, AI-assisted programming will continue to showcase its capabilities. However, it is not yet a ubiquitous concept, and developers are taking their time to explore and optimize its use. Nonetheless, it is exciting to witness the innovative ways in which developers are experimenting with AI-assisted programming.

Trend #2: No and low code development to be prominent

No-code or low-code development has not gone out of fashion but instead has become a fundamental aspect of modern software development practices. This approach offers numerous benefits, including faster development, cost-effectiveness, increased productivity, better collaboration, and more, making it a continued trend in 2023. Additionally, developers are currently working on integrating AI and ML to enhance efficiency.

According to Gartner, by 2024, this industry will account for over 65% of application development activity, and by 2025, more than 70% of applications will be created using low or no code. So, it only makes sense for the developers to bank on it. Notable examples of low-code applications include Appian, OutSystems, WordPress, Wix, Squarespace, and more.

Trend #3: The rise of new languages

Even though there are developers who still like to stick to traditional languages like Java, C, and Python, the rapidly evolving technology landscape and changing requirements have compelled many developers to embrace newer languages. These languages facilitate innovation and exploration to a greater extent than ever before. Consequently, languages such as Scala, Go, Python, and Rust have gained significant popularity. It is expected that in 2023, developers will extensively explore these languages to cater to the ever-increasing demands of their consumers.

Trend #4: Natural Language Processing (NLP) will now be a permanent technology

Natural language processing (NLP) is a computational technique that enables machines to understand and generate human language. It has become an essential part of artificial intelligence (AI) and is used in a wide range of applications such as virtual assistants, chatbots, sentiment analysis, language translation, and text analytics. Some of the latest trends in NLP include Pretrained Language Models, Low-Resource NLP, Multilingual NLP, and more.

One of the most advanced products of NLP is the Chat Generative Pre-trained Transformer (GPT), which has been trained on vast amounts of text data to generate human-like text. Chat GPT is a powerful tool for developing NLP applications.

Developers are increasingly interested in understanding and utilizing Natural Language Processing (NLP) techniques in their applications. And this is going to continue for years to come. The future of NLP looks promising, with an ever-increasing demand for natural language understanding and development. By 2026, the NLP market is expected to reach $26.4 billion, indicating significant growth potential. There is no doubt that NLP will continue to play a vital role in shaping the future of technology and transforming the way we interact with machines.

Trend #5: Cloud computing continues to gain popularity

In recent years, cloud computing has become increasingly important and has been widely adopted by startups, businesses, and government organizations around the world, including the United States federal government, the United Kingdom government, the Australian government, and the Singapore government. With its numerous benefits, including enhanced security, collaboration, and accessibility, as well as time and cost savings, cloud computing is expected to reach $1,242.1 billion by 2028. As such, developers are likely to heavily rely on cloud computing services in the coming years. However, to maximize the potential of this trend, developers need to keep abreast of the latest updates and best practices.

Trend #6: Growing complexity in software development fuels popularity of outsourcing trend

As demand for software development continues to rise, software outsourcing is becoming an increasingly popular trend. This is partly due to the increasing complexity of software development, which requires a diverse range of skills and expertise that outsourcing can provide.

Furthermore, the growing prevalence of digital technologies such as cloud computing and the Internet of Things (IoT) is driving demand for software development, creating further opportunities for outsourcing. The software outsourcing market size was valued at USD 92.5 billion in 2020 and is expected to grow at a

CAGR of 4.5% from 2021 to 2028. According to studies, India is the largest outsourcing destination in the world, accounting for 56% of the market share.

Trend #7: Plethora of Realities

The trend of extended reality (XR) software development is highly dynamic and encompasses virtual reality (VR), augmented reality (AR), and mixed reality (MR). This rapidly evolving field is widely adopted, and its integration with AI, the movement towards cloud-based solutions, the provision of social and collaborative experiences, and the ability to render in real-time, make it a highly desirable user experience. Due to these factors, XR software development has gained significant popularity and is expected to see numerous advancements in the coming years, considering its accelerated pace of growth.

Trend #8: The craze for blockchain and Crypto hype might subside

Yes, you read it right. Crypto and blockchain technologies burst into the scene with tremendous hype and captured the world’s attention. However, in recent times, this frenzy has dwindled due to factors such as market instability, security concerns, and regulatory uncertainty. These technologies are still at a budding stage and must remain resilient to combat competition from both existing and upcoming technologies. Aspiring developers should weigh their options before choosing this as their niche, as the primary drawback is that the real innovation in blockchain-based applications originates from the underlying technology of the blockchain itself, rather than the software code that communicates with it, making it comparatively less fascinating.

Trend #9: Sustainable technology will be the way forward.

While technology has provided us with many conveniences and benefits, it also has its drawbacks. For instance, according to a report from Edinburgh Sensors, modern technology has been responsible for environmental pollution and the depletion of natural resources. Nevertheless, many companies have become more aware of their impact on the environment and are now prioritizing ESG (Environmental, Social, and Corporate Governance) initiatives.

As we move forward, both companies and software developers should consider focusing on sustainable technology trends, such as open-source software, green software development, agile software development, cloud computing, and ethical and socially responsible software. They need to measure their actions and impact on the environment and society to create a more sustainable future.

Trend #10: Making Cybersecurity a way of life

In the current era, a cyber-attack is one of the most dreaded threats, surpassing even the fear of plane hijacks or bombings. The most widespread form of cyber-attack is ransomware, with Cybersecurity Ventures estimating that its cost could rise to $20 billion globally in 2021. Additionally, cybercrime is predicted to surpass $10.5 trillion globally by 2025. Given these alarming trends, cybersecurity must be a top priority for the foreseeable future as these attacks are becoming more common and sophisticated. It is not an option to take this lightly; cybersecurity should be a way of life. Developers should focus on cybersecurity trends, including containerization and virtualization technologies, DevOps practices, artificial intelligence, machine learning, blockchain security, and more.

Trend #6: Growing complexity in software development fuels popularity of outsourcing trend

As demand for software development continues to rise, software outsourcing is becoming an increasingly popular trend. This is partly due to the increasing complexity of software development, which requires a diverse range of skills and expertise that outsourcing can provide.

Frequently asked questions:

1. What is software development?

In simple words, software means giving a set of instructions and telling the computer what to do. And software development is the process of creating computer programs, applications, and systems.

2. What are the types of software development?

Software development depends on the market, target audience, project requirements, and desired outcome. Here are the types of software development, system software, programming software, application software, embedded software, cloud and game development.

3. Lifecycle of software development

planning, analysis, design, development, testing, implementation, and maintenance.

4. Why should businesses embrace software development trends?

Moving forward is the only way ahead. Businesses should embrace these trends to gain a competitive edge, increase agility, save cost and time, and increase customer experience.

5. Hot trends affecting the software development industry…

AI, DevOps, Agile Development, Cybersecurity, no/low code development.

Final thoughts

To stay ahead in the game, developers and businesses should embrace some of the current hot trends. In 2023, there will be explosive growth in new inventions and development in the software development industry. Trends such as AI and ML will continue to rise, and cybersecurity will become increasingly important. Although there will be an influx of new programming languages, Python will remain popular., Some studies suggest that blockchain may become less popular, but only time can tell if this technology can sustain the tough competition. These are our interpretations, but we welcome your thoughts on these trends.

References:

https://www.rst.software/blog/top-6-software-development-trends-to-watch-in-2023

https://www.ailoitte.com/blog/software-development-trends/

https://jelvix.com/blog/software-development-trends

https://www.itprotoday.com/software-development/5-software-development-trends-watch-2023

1. Improved patient engagement

Fostering a positive relationship with patients can have significant benefits for healthcare officials. The National Business Group on Health reports that patients who are engaged in their care have 8% lower healthcare costs. Moreover, over 70% of patients are willing to increase their engagement in their care. Engaged patients are more likely to ask questions, provide feedback, follow up with treatments, and actively participate in decision-making, benefiting both the patient and the hospital. By fostering patient engagement, healthcare officials can increase patient satisfaction and reduce healthcare costs.

 

There are several ways healthcare officials can engage patients effectively:

• Utilize technology: Leveraging mobile apps, regular notifications, and telehealth services can significantly improve patient engagement.

• Facilitate seamless communication Effectively communicating with patients can help resolve their problems and concerns, encouraging them to ask more questions.

• Embrace patient-centred care: Placing patients’ needs at the forefront of care can help healthcare officials tailor their services to better fit the individual.

• Spread awareness: Providing patients with educational materials such as videos, brochures, and messages can help them understand their health conditions and treatment options.

By implementing these strategies, healthcare officials have raised patient engagement, leading to improved health outcomes, increased patient satisfaction, and reduced healthcare costs.

2. Improves patient care

The healthcare industry has been transformed by the digitization of patient records through Electronic Health Records (EHRs). This technology has brought about many benefits, including:

• Improved Efficiency: EHRs have made it more convenient for healthcare officials to access patient information, allowing them to spend more time analyzing the case and less time handling paperwork. According to the National Center for Health Statistics, 87% of office-based physicians used an EHR system in 2020. Furthermore, a study published in the Journal of the American Medical Informatics Association found that EHRs significantly reduced the time required for clinical documentation.

 

• Improved Care: With the reduced time required, healthcare officials can dedicate more time to diagnose and treat patients, providing top-notch services.

• Enhanced Safety: The safety and health of patients are of utmost importance. EHRs can reduce medical errors and improve patient safety. A medical journal reported that implementing EHRs has reduced the risk of adverse drug events by up to 80%.

Overall, EHRs have brought about a revolution in the healthcare sector by improving efficiency, care, and safety. With an increasing number of healthcare providers adopting EHR systems, patients can expect more accurate, efficient, and effective care.

3. Increase in revenue

The adoption of EHR has proven to be a significant advantage in the healthcare industry. One of its most notable benefits is the improvement of billing and coding accuracy. With EHRs, medical billing and coding become more up-to-date and accurate, and as it reduces denied claims it improves the reimbursement rate. This results in a significant improvement in the revenue stream.

EHRs also help in increasing patient volume and coding specificity, ensuring that providers have the clinical details needed to support accurate coding, resulting in higher reimbursement rates. Additionally, EHRs have drastically reduced medical errors, which can lead to improved patient outcomes, reduced malpractice claims, and ultimately, increased revenue.

 

A study by the National Coordinator for Health Information Technology showed that medication errors were reduced by 55% with the implementation of EHRs, resulting in better health management of patients. In summary, the benefits of EHRs add up, ultimately contributing to the increase in revenue for healthcare organizations.

 

4. Reduction in errors

Research suggests that the annual loss of over 50,000 lives is attributed to diagnostic errors, with one in every 31 hospitalized patients in the United States succumbing to Healthcare-associated infections. Additionally, medication errors negatively impact a minimum of 1.5 million individuals in the US. These statistics are truly alarming, highlighting the gravity of errors in healthcare.

However, evidence indicates that the adoption of Electronic Health Records (EHRs) may alleviate this issue by lowering the incidence of errors in healthcare. EHRs have proven effective in enhancing medication safety, promoting superior communication, reducing duplication of testing, and improving patient outcomes

5. Faster prescribing

For a long time, doctors’ poor handwriting has been the subject of many jokes and memes. However, the reality is that scribbled handwriting can result in serious medication errors, posing a significant risk to patient safety. Although pharmacists are trained to decipher the handwriting, there are still times when they cannot accurately read the prescription, leading to potential errors.

Fortunately, Electronic Health Records (EHRs) have eliminated the need for handwritten prescriptions. Instead, physicians can electronically send the prescription to the pharmacy, minimizing the risk of errors caused by illegible handwriting. EHRs also offer several tools that enable physicians to prescribe medications quickly and accurately.

Furthermore, EHRs have been shown to reduce the time taken for physicians to prescribe medication significantly. This leads to a more efficient healthcare process, as physicians can focus on providing quality care to patients instead of spending valuable time deciphering handwriting. The use of EHRs also enhances communication among healthcare providers, as they can quickly and easily access patient medication histories and other critical information. Overall, the implementation of EHRs has improved medication safety, accuracy, and efficiency, contributing to better patient outcomes.

Read more: https://www.selecthub.com/medical-software/benefits-of-ehr-systems/

Frequently asked questions

• What is an EHR? Electronic Health Records (EHRs) are medical records of patients that are maintained and updated digitally by healthcare professionals. These records contain a patient’s medical history, medication information, lab test results, imaging studies, and other necessary health information.

• What are the types of EHR?

The two main types of EHR are:

 Web-based EHRs: They are hosted on remote servers and accessed through a web browser.

 Client-server EHRs: installed on the local computer, the data can be accessed through a secure network.

• Are EHRs required by law? Yes, most countreis use EHR . In 2009, in the US, the Health Information Technology for Economic and Clinical Health (HITECH), there is US legislation to incentivize the adoption of EHR and support the country’s healthcare industry.

• How do healthcare providers choose an EHR system? Healthcare officials must consider parameters like practice size, cost, patient mix, number of daily users, security and compliance, interoperability, functionality, usability and vendor reputation and support.

• What are the steps to set up EHRs?

 Understand your needs

 Do your research

 Talk to the industry experts

 Take demos of EHRs

 implement EHRs

 Test it thoroughly

 Train your staff

 Go live

 Keep in touch with the vendor for further updates.

• What are the benefits of Electronic Health Records for Providers:

 Better Coordination of Care

 Data Analytics

 Access to Comprehensive Patient Information:

 Improved Efficiency and Communication

• What are the benefits of Electronic Health Records for Providers:

The main components are medical history, clinical notes, test results/imaging studies, and demographic information.

• Cons of EHR?

The implementation faces technical difficulties, data and security issues, user adoption, and at times workflow disruptions.

Conclusion

Electronic Health Records (EHRs) have emerged as a revolutionary process poised to transform the healthcare sector. According to our article, the top 5 benefits of EHRs are enhanced patient engagement and care, reduced errors, expedited prescribing, and increased revenue. Additionally, other notable benefits include decreased unnecessary testing, improved diagnostic accuracy, increased efficiency, and enhanced control over personal health information, among others. As humanity evolves, technology will undoubtedly advance as well, and it is crucial to embrace these technological advancements; otherwise, we risk becoming obsolete.

You can contact the App Scoop mobile app development team at: https://www.app-scoop.com/contact-us.html

Key opportunities while implementing AI in healthcare

1. Medical research

Medical research has always been crucial, and the application of AI in this field has gained significant attention in recent years, enhancing research opportunities. For instance, IBM’s Watson Health branch heavily relies on AI to offer advanced solutions, including drug discovery, clinical trials, and patient care. Another New York-based startup, AiCure , utilizes AI and advanced data analytics to monitor patient behavior and facilitate remote patient engagement in clinical trials, utilizing video, audio, and behavioral data to enhance the understanding of the connection between patients, diseases, and treatments.

In some cases, AI has facilitated medical research where it can identify cancer subtypes. Another New York-based startup, Paige.AI is using AI to identify cancer subtypes. With the assistance of this technology, Paige.AI screens large amounts of patient tissue sample data to identify unique markers and patterns. This approach enables pathologists to provide a more precise diagnosis and offer the most effective treatment options.

2. Drug Discovery And Development

The Drug Discovery and Development stage is a crucial and costly process. It involves identifying novel drugs, designing them, refining them, and testing them. AI plays a vital role in enhancing and expediting the discovery and development of drugs by analyzing drug efficacy and potential side effects, as well as conducting gene sequencing.

In a bid to streamline the process and achieve measurable outcomes, Insilico and Pfizer have collaborated on drug discovery, incorporating AI to identify new molecules. Similarly, AstraZeneca has integrated AI into its drug discovery process to expedite the discovery and development of treatments for chronic kidney disease (CKD) and idiopathic pulmonary fibrosis (IPF).

3. Patient engagement

Patients can greatly benefit from proper guidance and personalized care, and incorporating AI technology can enhance patient engagement even further. There are numerous ways in which AI can improve patient engagement, with one of the most crucial being medication adherence. Patients may frequently forget or discontinue taking their prescribed medication, but AI-generated timely reminders can assist them in their journey to improved health. Studies have demonstrated that using the AiCure application can increase medical adherence by 17%.

Livongo , a mission-driven organization based in the United States, has successfully revolutionized how people access and experience healthcare by utilizing AI technology to provide coaching and support for patients. This coaching is highly effective in improving patient outcomes, with hospitalizations reduced by 58%. In addition to medication adherence, AI can be leveraged to educate patients, manage chronic conditions, and provide remote patient monitoring, all of which contribute to improving patients’ quality of life.

4. Streamlining Administrative Tasks

In 2017, the healthcare industry’s administrative expenses amounted to $812 billion, according to a study by the Center for American Progress. The McKinsey Global Institute also found that administrative tasks account for up to 36% of a physician’s workday, leading to burnout. To alleviate this burden, AI can automate tasks and reduce administrative expenses, improving job satisfaction for healthcare professionals.

AI can be used to streamline various administrative tasks such as appointment scheduling, medical coding, billing, authorization, and clinical documentation. For example, Zocdoc found that 50% of Americans struggle to understand insurance, and by utilizing AI, they were able to help over 6 million patients schedule appointments with healthcare providers. Serkan Kutan, CTO of Zocdoc said, , “As a consumer-facing tech company operating in healthcare, we are eager to bring data-driven innovations to improve the patient experience. Our search process uses multiple algorithms to parse a patient’s intent and match their needs to the right specialist.”

Overall, by leveraging AI-powered platforms, healthcare providers can reduce administrative expenses, streamline tasks, and improve the overall efficiency of healthcare delivery, resulting in better job satisfaction for healthcare professionals and better outcomes for patients.

5. Robotics in healthcare

Performing surgeries is undoubtedly one of the most critical tasks, as it gives patients a chance at a healthy life. However, surgical procedures can sometimes fail due to various reasons. Leveraging AI technology can transform the field by increasing surgical precision, improving patient outcomes, reducing complications, and enhancing efficiency.

According to a CNN report, , Singapore’s Changi General Hospital has developed over 50 robots to assist its staff. Hospital officials believe that robotics has the potential to make people’s lives more meaningful by eliminating the need for them to perform degrading, demeaning, dirty, dangerous, or driving tasks – the five Ds.

Key challenges while implementing AI in healthcare

1. Data Privacy And Security

Healthcare data is particularly sensitive and the implementation of AI in healthcare can pose risks to data privacy and security. Improper protection of healthcare data can result in data breaches and misuse. Furthermore, a lack of transparency can lead to ethical concerns.

 

To address these issues, the UK has implemented the General Data Protection Regulation (GDPR), also known as The Data Protection Act 2018, which regulates the use of personal information by organizations. In 2019, the Royal Free Hospital in London breached this regulation when it gave the personal data of which regulates the use of personal information by organizations. In 2019, the Royal Free Hospital in London breached this regulation when it gave the personal data of 16.6 million patients to DeepMind, a British artificial intelligence research laboratory.

To mitigate these risks, hospitals must implement strict policies and robust data protection measures. Regular security audits should be conducted, and patients should be kept informed about how their data is being used.

2. Regulatory compliance

Organizations that implement AI in healthcare must comply with various regulatory compliance requirements that govern data sharing, processing, storage, and collection. These requirements include HIPAA Compliance , GDPR, , FDA approval , and Ethical considerations. Non-compliance can lead to strict action being taken against the organization. To ensure compliance, organizations must undertake strict privacy measures and closely monitor their actions.

For instance, in 2020, CHSPSC LLC, a subsidiary of Community Health Systems, was fined fined $2.3 million by the US Department of Health and Human Services (HHS) for violating HIPAA regulations. They failed to comply with security measures, resulting in a data breach affecting six million patients.

Therefore, organizations must adhere to regulatory compliance requirements when implementing AI in healthcare. They must take measures to ensure compliance, such as implementing strict privacy measures and regularly monitoring their actions to avoid penalties and protect patient data.

3. Cost and resource constraints

Although AI has the potential to revolutionize the healthcare sector, it comes at a cost that varies depending on factors such as the algorithm to be implemented, the amount of data to be processed, the scope and size of the project, and the level of intelligence required. According to Analytics Insight, custom AI implementation can cost an organization between US$20,000 to US$1,000,000.

Additionally, building AI solutions requires sophisticated hardware, software, and algorithms, which can add to the overall cost of implementation. Another challenge is the shortage of skilled professionals to manage and deploy these solutions effectively.

4. Clinically inapplicable performance metrics

There is a critical stage between ideation and fruition where many projects fail, known as the “AI chasm,” where development falls short. While we have made significant progress in AI, researchers suggest that there is still room for improvement. Studies indicate that AI models for health prediction may not have sufficient evidence to show improvements in patient outcomes.

One of the major challenges of implementing AI in healthcare is the use of performance metrics that are not relevant in a clinical context. AI models are trained using metrics such as accuracy, precision, recall, and F1 score, which may not have clinical applicability. For example, if an AI model has high accuracy in predicting a medical condition but is unable to explain how it arrived at the prediction, it may not be useful in clinical decision-making.

Another challenge is the lack of representation of the patient population in some AI models, which can lead to disparities in healthcare outcomes. Additionally, some AI models lack transparency and interpretability, making it difficult for clinicians and researchers to trust the results. To address these challenges, it is necessary to thoroughly evaluate the performance of AI models in a clinical context and ensure that they are transparent, interpretable, and representative of the patient population.

Read more: : https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-019-1426-2

 

1. Google Sky

This app makes stargazing easy. It lets you explore the far reaches of our universe. They say that the images seen in Google Sky are similar to the ones seen in Sky on Google Earth. It acquires data from space-based astronomical surveys. Google Sky allows you the explore the universe in many ways. (Content as per the website)

Microwave: A view of the microwave sky from NASA’s Wilkinson Microwave Anisotropy Probe (WMAP), which shows the universe as it was 380,000 years after the big bang.

Infrared: An infrared view of the sky from the Infrared Astronomical Satellite (IRAS). Change the transparency of this layer by moving the slide bar to blend the optical and infrared.

Historical: The sky as drawn by Giovanni Maria Cassini (printed in 1792) showing the constellations in their classical form from the collections of David Rumsey

2. Sky View

SkyView gives you a glimpse of what the night sky has in store for you. All you have to do is point your Andriod camera at the sky and this app will unravel what the sky has to offer. Users can touch any element on the screen while the camera is pointing to the sky, and the app will help identify it with its name, radius, distance from earth and more. It even identifies satellites like Hubble, ISS Plus and more. This app allows you to explore time. All you need is a good data pack. The UI is simple and beautiful. One of the reviews read, “Pictures you take are way better than any of the examples here on the download page. It’s brilliant!.”

3. Stellarium

Stellarium is an award-winning open-source planetarium. This feature-rich application lets you explore the night sky with ease. With a minimalistic user interface, Stellarium allows you to learn the constellations, planets, satellites, etc. Point your mobile camera at the sky, and the sky is your oyster. It even shows realistic landscapes and atmosphere with sunrise and sunset. One of the reviews read, “This is my first app of this type. It is what I was hoping for, plus a little more. I like the way I can move the map manually and even more, it tracks the movement of my phone. I also like the ability to move into a star, a cluster or a galaxy and see a lot of information about the object that I have zoomed into, plus, if the grid lines are enabled, the sense of that object moving through space is very apparent which really enhances the entire experience. Try it, you just might like it too!”

4. SkySafari 6 Pro

It is a smart, well-designed stargazing app that lets you deep dive into astronomy. SkySafari 6 Pro essentially is a visually appealing planetarium at your fingertips. It provides telescopic images and object information. One of the reviews read, “This is the best portable Planetarium program I have ever encountered. Deep database, easy-to-use interface, and can control a telescope. Better yet, it can share data and observing lists with your laptop or iPad. Inexpensive enough to allow you to buy another copy. They upgrade regularly. SkySafari Pro 7 is a noticeable improvement.”

5. Star Walk 2

The Star Walk 2 app is touted as the best astronomy app. It makes you feel that the sky is closer than you think. This app shows you the real-time interactive sky and allows you to enjoy stars, planets, and constellations. Also, known as the encyclopedia of the sky, this app gives extended information and learn facts about sky objects. This app is available for free with occasional ads. As per a report by Sensor Tower Star Walk 2 was the most popular app in 2020.

Read more: : https://www.cnet.com/tech/services-and-software/best-stargazing-apps/

6. GoSkyWatch Planetarium

GoSkyWatch Planetarium as the name suggests is designed for astronomy enthusiasts. It is feature-rich and gives a pristine stargazing experience. Some of the key features are interactive Sky Map, Augmented Reality, Time travel which shows how the night sky changes over hours, days, weeks, even years, Object Information, and Customization. One of the reviews read, “Fantastic!!! Best program of its kind that I have found. The more I use it the more I discover things that it is capable of doing. (Like tracing out the sun Analemma as a function of time.) I input my own location with a high degree of accuracy and find extremely good accuracy in everything else that it calculates. I find the accuracy of the program to be Impressive. The display is very realistic as to the relative brightness of the stars and constellations, just the way you see them. “

7. Scope Nights

One thing that every stargazer wants is a clear sky. Scope Nights app is designed in a way that helps you navigate and find days when the sky is clear giving you a view that you always yearned for. Some of the best features of Scope Nights are Clear Sky Chat, Light Pollution Map, Astronomical Events, Educational Tool, Observing Log and Community. Scope Nights, in short, optimizes observing sessions for amateur astronomers.

8. Cosmic Watch

Cosmic Watch is one of the most unique apps that offers a 3D interactive model of the solar system. With that, it offers a virtual reality experience of our galaxy. Some of the features that bring Cosmic Watch to the forefront are VR experience, educational took and many others. The Celestial Clock feature shows the clock that displays the current time, and the position of the sun, moon, and planets relative to the celestial equator and the horizon. Its Interactive 3D Solar System Model allows you to explore the solar system in 3D.

9. Heavens-Above

Heavens-Above is touted as one most the popular apps that inform users about celestial objects. It allows its users to enter their location and it will give a personalized list of upcoming satellite passes such as including the International Space Station (ISS), Hubble Space Telescope, and other popular satellites. The design is simple and offers accurate predictions.

Read more: : https://www.skyatnightmagazine.com/top-astronomy-kit/best-astronomy-stargazing-apps/

1. TikTok

You would be seriously living under a rock if you haven’t heard about TikTok. With a total of over 1 billion monthly active users, TikTok is the best alternative for Instagram. It is a popular video sharing that enables users to create and share content and make a living out of it. It has been downloaded over 2.6 billion times. TikTok gained popularity because of the engagements it brings. Its short-form videos keep the users hooked to the app. According to a study, TikTok is addictive because it releases dopamine into the brain, making you feel good.

2. Snapchat

This app is the fastest way to share a moment. It was launched in 2011, and it instantly grabbed everyone’s attention. People take selfies every second, and Snapchat offers quirky filters which make your selfie-taking process very hot and happening. It is said that the most amazing feature of Snapchat is the limitation of time. Its My Story feature is quite popular amongst Gen Z. And the filters it offers is its best feature, and let’s not forget about its Front-Facing flash which is the USP of this app. Snapchat has over 363 daily active users worldwide making it one of the best alternatives for Instagram.

3. Pinterest

Known as of the most interesting and visually appealing image-sharing and social media service is Pinterest. It was launched in 2010. It is said that over 445 million people use Pinterest per month which reflects highly on this app. It offers some of the most scintillating ideas for recipes, home and style decorations. You can browse, discover ideas, save share and shop Pins. You can create a board and save your images here. One of the reviews read, “I love this app and use it almost daily. Aesthetics, interior and fashion, art inspiration, I use it for everything. The only thing I wish it had was an option to randomize your pins on your board. I like having them shuffled, but I have to do it all manually, and sometimes that takes a very long time. I’ve talked to other people who also thought a randomize / shuffle option would be convenient. Other than that, I have absolutely zero complaints.”

4. 500px

An exclusive tool for aspiring photographers is this premier community and social network called 500px. This app lets you discover and share the world’s photos. Instead of just randomly scrolling, 500px allows a photographer to grow, build their career, lets them analyse their performance, and most importantly inspires them to sell their work. Over 16 million like-minded photographers use this app. One of the reviews read, “Great app with a few bugs. Tap a thumbnail and rotate the phone to get a landscape view, and the app switches to a different photo. Rotate back upright and it switches photos again. You can do this ad-nauseam, switching photos with every change of phone orientation. When zooming in, the photo gets ‘stuck’ at max zoom in the top left corner of the photo. In this view, I can’t swipe to another photo or drop back to thumbnails. The only way out is to crash the app and restart.”

5. Vero

Vero allows its users to share different types of media with their followers. Vero is founded by Ayman Hariri. It is revolutionary and a game-changer in the true sense. It comes with a tagline – ‘more social, less media.’ Posts can be photos, music, tv shows or texts. The best part is users can categorise their connections into close friends, friends, acquaintances, and followers. Vreo interface is plush, classy, and chic. One of the reviews read, “So much to like, and worth giving it a try. It’s fairly full-featured and even does some things better than the established players. The interface can be a bit puzzling or inconsistent at times, but the biggest complaint is poor performance on lower midrange or budget devices.”

6. MeWe

It is touted as the next-gen social network. It is owned by Sgrouples, a company based in Los Angeles, California. MeWe is inspired by trust, control, and love for social media users. MeWe is where you can be yourself. It also allows you to control your content. And you can share your content with those who you wish to see it. It claims to be anti-Facebook, as it has no ads, no spyware, and they don’t share your data. MeWe is a revolutionary social network that gives you total control of MyCloud, Unique profiles, Voice integration, dual-camera videos, and a lot more.

7. Moj

Moj is quite literally like TikTok. It is an Indian app which is supported in 15 languages. Created by ShareChat, this app is used to make short clips and videos of up to 15 seconds. It offers various filters, and videos to lip-sync with special effects. One of the reviews read, “As a digital creator my experience was sublime. Using this for the first time as a creator seemed a good job for the Indian market. The developers have done a good job for beginners to edit and create videos However there are a few bugs I found in the application and improvements as well – the filters are basic colours over the screen and not a real colour gradient in the videographic layout. – the selection while adding a caption to select and delete only a particular word was not possible.”

8. Retrica

The developers of Instagram just could not wait after the success of Instagram. They wanted to keep on creating something amazing. And the result is Retrica – which is touted as the original filter. It is a catalyst of great photos with over 190 filters. Retrica supports GIF format and allows you to create your GIFs. Most importantly it allows you to express yourself.

9. Triller

Quite similar to Tiktok, Triller is an American video-sharing social networking service. It enables users to create short-term videos, , skits, and lip-sync videos. Triller deploys AI to edit videos. Released in 2015 and had over monthly 65 million active users. It offers a wide range of audio and countless filters.

1. ChatSonic

They say need powers creations. And that is what drove India’s Samanyou Garg to create ChatSonic. The main reason behind developing this powerful conversational AI is that he wasn’t able to create up-to-the-mark content for his products. Launched in December 2022, ChatSonic is touted as one of the best and most powerful alternatives to ChatCPT. Its best feature is its content creation ability. ChatSonic is backed by Y-Combinator. It essentially combines the power of AI and the creative side of humans which makes the content more powerful. It claims to improve the limitations that ChatGPT has. Unlike ChatCPT which is free right now, ChatSonic has a free trial version, the Long-form package is for $12,67/month. Users can even customise their plans.

Features

• It is voice command exclusive. And it takes commands like Siri or Alex.

• It offers templates for blogs, ads, emails, and tweets as well.

• ChatSonic easily integrates it into your system with API access.

• Users can add the ChatSonic Chrome extension to get content suggestions.

• It is a personal assistant that you can customise and use while solving a math problem or any help you need.

• Creates stunning digital AI artwork.

2. You.com

You.com is a ChatGPT-like chatbot that is connected to the internet. It has a platform called YouChat which is an AI-powered conversational search assistant developed by You.com. YouChat was developed by MobileSoft, Inc based in Minneapolis, USA in August 2022. It provides natural-sounding accurate explanations, cited sources, and interactive apps on various topics. This conversational AI model responds to general inquiries, suggests ideas, writes codes, creates email, summarises text, and much more. YouChat is still in its development phase hence it is free to use as of now. One of the striking drawbacks is it claims not to be liable for the content generated.

Features

• To give it a human touch, YouChat makes use of artificial intelligence and natural language processing.

• Provides latest information.

• Let’s you develop and test code with confidence.

• Backed by the internet.

3. Jasper Chat

Jasper Chat is a new and more conventional way of interacting with generative AI. Created in December 2022, Jasper comes with a tagline ‘AI as easy HI’. By far, Jasper Chat comes very close in terms of looks and feel to ChatGPT. With Open AI as its partner, ChatGPT is based on GPT 3.5. It is mostly used for advertising, marketing, and more. It comes with two plans: Boss mode $82/month, and Business plan which starts at $499/month.

Features

• Has extensive knowledge of the niche and advanced topics until the Summer of 2021.

• It gives better context as it remembers what you said earlier.

• Creates amazing art in seconds.

• It generates content in 29 languages.

• Look and feel is accessible.

• Jasper collects output from a billion data points.

• Comes with a Chrome extension.

Read more: https://writesonic.com/blog/chatgpt-alternatives/#dialogpt

4. DialoGPT

Known as another best alternative to ChatGPT is DialoGPT. It is a large-scale pre-trained dialogue response generation model. It is built for multi-turn conversations. DialoGPT is a ChatGPT 2 model and is trained on 147 M conversations extracted from Reddit from the period of 2005-2017. Features like voice search, voice response, or personas are not entertained by DialoGPT. Various packages cater to all kinds of people.

Features

• Simple and easy to use.

• It claims to create a chatbot in just 10 lines of code.

5. Chinchilla

Known as the GPT 3 Killer is Chinchilla which is developed by DeepMind. This is quite similar to GPT-3 and BERT and there is some hush-hush news that Chinchilla can outperform ChatGPT on the mathematical MMLU dataset. It is a 70B parameters model trained as a compute-optimal model with 1.4 trillion tokens. When it comes to pricing, the DeepMind team will help you better.

Features

• Chinchilla uses less computing for fine-tuning and interface.

• It outperforms tools like Jurasicc-1, Megatron-Turing NLG, Gopher, and GPT-3

6. Replika

An AI companion who cares is yours truly Replika. It comes with a tagline ‘Always here to listen and talk. Always on your side’. Replika is an AI-powered chatbot that replies to your questions in a jiffy. It has over 10 million users. It has been trained on a large dataset to give unique responses. Replika combines a sophisticated neural network machine learning model and scripted dialogue content.

Features

• Lets you share moments with your AI in real-time.

• Offers coaching to build better habits and allows you to call up anytime to see a friendly face.

• The more you talk to Replika, the smarter it becomes.

7. OpenAI Playground

It is made quite clear that OpenAI Playground is not made for daily use. Yet it comes quite close to ChatGPT. The Quickstart tutorial option on the website is an easy way to understand this tool. Although similar to ChatGPT, this tool offers much more than ChatGPT. It enables users to experiment with a specific language model. This tool is free to use.

Features

• Accurate and quick.

• Offers text and code compilation, fine-tuning, image generation, embedding and much more

1. Zoho Creator

It is a leader in providing next-gen ADM Solutions. Zoho, allows you to build powerful solutions faster. Zoho lets you turn massive data into charts in real-time. It is trusted by over 13,000 brands. Neil Hobbs IT director, of Bourne Leisure said, “I really think of Zoho Creator as my Swiss Army knife to whip up apps.” Zoho has one version which is free to try. Its pricing starts at $20 / £18 / AU$30 per user per month if billed annually.

Features

• Empowers everyone to innovate.

• Low-code/No-code Development Platform

• Let’s you run any business you need.

• Multi-Device App Creator.

• Business Process Creator.

• BI & Analytics Creator.

• AI Creator.

2. Kobiton

It comes with a tagline – make your app better everywhere. Kobiton enables mobile-first enterprises across the globe to deliver new releases ten times faster and provides 5-star app experiences. Star-studied users for mobile app testing of Kobiton are Hilton, Bank of America, Southwest Airlines, and Uber. Kobiton has plans for every team. Its Startup plan is for $75 / month while the Accelerate plan is $390/month.

Features

• Top-tier customer service, platform capabilities, and product stability.

• Delivers faster release cycles.

• Let’s you develop and test code with confidence.

• Supports every organization and use case.

3. Appypie

Appypie lets you discover the power of no-code and allows you to create powerful web and mobile applications, and automate workflows. And all this is done in a jiffy. It offers a 14-day trial on every plan. Its Basic plan is for $18/month. while the premium is $60.

Features

• Empowers your business operations.

• Most flexible no-code platform.

• Easy, quick, and affordable no-code solutions.

• Costs at least 1/10th of the industry standard.

• E-Commerce App Builder Dating App Builder.

• On-Demand Delivery App

4. Appery.io

Appery.io enables users to create feature-rich mobile and progressive web applications. It is built with Ionic 5 and comes with a cloud-based back end. The Beginners package is for $25/month, the Pro is for 70/month and the Ultimate is $500/month. One of the reviews read, “Appery Support teams are fantastic. Mix this with the continuous improvement approach that Appery seems to take, the platform allows you to develop fast while at the same time allowing you to create applications that are as bespoke as you like.”

Features

• Multi-purpose platform

• Low-code app development

• Can be integrated with any app and technology using APIs.

5. Microsoft Power Apps

Microsoft Power Apps enables you to build professional-grade apps which increases agility across the organization. The Airtable package is available for free, the Salesforce Platform is available for $25/month, while the Quickbase is for $600. One of the reviews read, “The best thing about using Power Apps is creating an app without coding. The Drag and drop interface is much easier. Knowing a few excel functions would be sufficient.”

Features

• Low-code app development.

• Builds app faster with fewer resources.

• Reduces development cost.

• Data Synchronization.

• Data Security.

6. Andromo

Andromo lets you create an app in just five simple steps. With that, it even allows you to monetize content apps whilst creating an online store app. The free trial requires no credit card. more than 1 00,0000 people are using Andromo-built apps. The Claris FileMaker package is available for $17/month. One of the reviews read, “Andromo is very easy to use with a very simple and powerful interface that works well the first time around. The product is easy to use for people with no or limited coding knowledge. I can most definitely recommend Andromo to all those who do not have a lot of coding experience, and who want a good and reliable product.”

 

Features

• All-in-one solution for Beginners and Pros.

• Backed by Google Flutter

• Export to both Android & Apple.

• Convert your online store into an app.

7. GoodBarber

GoodBarber allows you to make beautiful apps. It lets you create content and shopping apps as well. Over 30,000 apps make use of GoodBarber. The Classic package starts from $25 billed annually, eCommerce from $35 billed annually, while the Reseller package starts from $200/month. One of the reviews read, “The UI is great, but my favorite aspect has got to be the analytics that is on the home page. It’s great to have that information right as you log in and not have to go searching for it.”

Features

• Simple and easy to use.

• No-code app builder.

• Provides an optimal user experience.

• Good space management.

• Good fonts and color management.

• 140+ extensions available.

• Powered by native technology.

• Clear hierarchy.

8. Thunkable

Thunkable lets you bring your app to life efficiently. Their belief is people have great ideas, but not everyone can code. Thunkable provides them with a hands-on digital creation and makes everyone an active creator of technology. The basic package is available for free and the Business Professional package starts at $200.

Features

• No-code mobile app.

• Advanced Logic.

• Makes development easy.

• Drag and Drop components.

• Device Native.

• Powerful and Playful.

• Available everywhere.

9. Shoutem

Shoutem allows users to create their dream app. over 10,000 plus amazing-looking apps were built using this builder. This creates high-end mobile apps that are compatible with Android and iOS platforms. The Android Apps only package cost $59/month, when annually billed it saves you $240. The Standard Plan (Android & iOS) costs $99/month when annually billed it saves you $360. The Professional Plan (Android and iOS) package cost $149/month, when annually billed it saves you $360.

Features

• Comprehensive.

• No-code mobile app maker.

• Let’s you build mobile applications easily.

• User-friendly.

• cost-effective.

10. BuildFire

BuildFire is touted as the most powerful app maker for iOS and android. This software tailors mobile app development for each of your business goals. You can build your app in three steps: Get started, build, and launch. Its industry experts are here to bring your app idea to life. One of the reviews read, “the most useful part of BuildFire, I have found, is the responsiveness of the team and how quickly our needs were met. Also, the very long list of plug-ins and how easy the back end is to navigate.”

Features

• No coding required.

• Simple and intuitive app builder.

• Customized Branding.

• Application Templates.

• Ease of Use

• File Management.

• Straight-Out-the-Box Functionality.

• Help Guides.

Why should developers incorporate ML?

ML can simply transform the way the mobile application works. It analyzes consumer behaviour, defines a pattern, plots powerful algorithms, and gives personalized experience; the list is endless. All these factors are considered while developing a mobile application. Developers can incorporate machine learning and present all these traits to their users. And, in turn, enjoy the growth of the application. Machine learning never stops learnings. It learns and re-learns to give nothing but the best and provides customized service. ML provides a plethora of options that the developers can play with. They should make the most and leverage ML.

• Developers can skill and train ML to make the system secure and fast.

• Analysis of the data is priceless. It broadens your horizons. Developers should cash in on predictive analysis.

• With that, a developer should also touch base on character recognition and natural language processing. These processes can help them create an array of applications that will change the way how people look at apps.

Advantages of incorporating Machine Learning in Mobile App Development

1. Improves search option and output

To provide a better user experience, effective search in the mobile application is becoming more important than ever. Giving this process a boost is ML, that not only improves the search process but also gives a push for a better outcome. And the best part is ML does this process within no time and takes in minimum effort. The tool that it uses such as pattern detections, and graphical and behavioural data, is simply impeccable.

2. Assessment of consumer behaviour

To take the brand to the next level, gaining insights into consumer behaviour opens new doors of opportunities. This is especially important when it comes to mobile application development. Understanding factors such as age, location, gender, and usage of the application allows the developers to build an application the consumer will love. This helps the developers fill in the market gaps, identify the apps that woo the consumers, and understand their buying patterns. That’s when ML comes into the picture. It helps to create clusters and provide categories that a group people want as per their similarities.  

3. Supports data mining

Now, when your product is been used by millions gathering various types of customer data and uncovering patterns is inevitable. Data mining helps to convert raw data into useful data. And the developers should make the most out of this. ML helps to categorize this huge data, process it, and future analyze it giving us an optimum result. For an application to live forever in the heart of the consumers, it has to work seamlessly and keep offering the consumers what they are looking for. Incorporating ML to leverage data mining provides well-designed strategies for the same.

Read more: https://chatbotsjournal.com/how-machine-learning-is-usefull-in-mobile-app-development-760cc2f38eed

4. Provides a personalized experience

ML never stop learning or analyzing. ML analyzes various information fed by the users and generates an algorithm that suits the best for the mobile app and the user. It continuously learns about your app’s users and helps in answering these questions:

• Developers can skill and train ML to make the system secure and fast.

• Analysis of the data is priceless. It broadens your horizons. Developers should cash in on predictive analysis.

• With that, a developer should also touch base on character recognition and natural language processing. These processes can help them create an array of applications that will change the way how people look at apps.

5. Identifies frauds and provides security

While applications enjoy the attention and success, let’s not forget that they are prone to security and fraud threats. Addressing these issues at the initial stages and of course, curbing them will surely assure the users of your intentions. Users have their information stored on their apps, hence putting an end to security and fraudsters should be the topmost priority. What ML does is, it can detect fraudulent activities at a faster and an accurate level. Its algorithm can easily detect irregularities that lead to fraud and can cause a security threat.

6. Healthy customer connection

To maintain a healthy customer connection, the application should solve their queries in a jiffy. Now, it is practically impossible for someone to tend to the customer’s needs round the clock. Chatbots built using ML, not only helps the companies understand their consumers better but it also takes a load off the employees. ML has the power to understand their queries and give them an optimum response. If the user is still not happy with the response, they can simply opt for the traditional means of communication.

Read more: : https://www.cmarix.com/blog/leverage-the-hidden-potent-of-machine-learning-for-mobile-apps/

7. Aids in the overall development

ML makes the process fast and secure; it further helps in detecting fraudulent activities. The seamless algorithm it uses allows businesses to predict future trends. This, in turn, allows them to think differently, providing them with a competitive edge over others. ML can lend a helping hand to make the application look out of the box. It also enables the developers to think creatively and aids in creating patterns too. This helps in overall development.