Artificial Intelligence December 12, 2018 Last Updated: December 12, 2018

There’ve been several machine learning and artificial intelligence tools, platforms and software in 2018. These platforms, software and tools have impacted every industry like legal, healthcare, automobile, manufacturing and agriculture. There are big brand names like Google, Amazon, Facebook, Apple and Microsoft that have been investing in such technologies for several years now. They wish to be leaders and trend setters to explore new areas of these technologies.

Artificial Intelligence Programmers Dallas Texas

Image Source:

While there are several predictions and expectations from AI and related technologies, I feel there will be 10 predominant trends that will dominate AI.


1. Automated Machine Learning will become critical

AutoML are automated machine learning based solutions. It will help developers and business analysts to enhance machine learning models to cater to complicated scenarios without learning or getting trained on ML models. AutoML helps the developers to deliver the desired customization without the need for complicated workflows. AutoML is expected to give a lot of flexibility along with portability of custom data.


2. Edge will unlock the combined power of IoT and AI

Next year, it is expected that Edge computing will unleash the power of IoT and AI. It is expected that advanced Machine Learning models that are grounded in neural networks will be perfect to run on edge. These can manage time series data, video frames, and ease of managing unstructured data generated from cameras, sensors and microphones.


3. AI-enabled chips will be introduced

In 2019, it is expected that companies like ARM, Intel and Qualcomm will introduce AI-enabled chips for AI-enabled applications. The chips will be optimized for specific use cases related to speech recognition, natural language processing and computer vision.


4. Get prepared for AIOps

AIOps will allow you to apply AI to operations to revamp infrastructure management. When the Machine Learning and Artificial Intelligence concepts are applied to infrastructure management, it helps to perform a defined and truthful root cause analysis for the operations team. AIOps will become popular as DevOps and AI converge.


5. Interoperability becomes important for neural networks

Interoperability in neural networks can become a hindrance in AI adoption. To that effect, biggies like Microsoft, IBM AWS and Facebook and have built ONNX or Open Neural Network Exchange. Thanks to ONNX that it’s possible to reuse trained neural network models across several frameworks.


6. Cybersecurity will depend on AI

AI will help enterprises to reinvent cybersecurity. Hackers are using newer techniques and ways to hack company’s data. The future of cybersecurity will be automated with the increased digitization of assets and processes with the help of AI.


7. Open source AI communities will grow

There are an increasing number of AI tools and software are using open source software. Enterprises will open source their AI stacks to build communities in these projects. In fact, large companies that already started such efforts have already experienced advantages.


8. AI-enabled recruitment tools

Recruitment is tedious and stressful. There are recruitment chatbots that are gaining popularity, that can help pre-qualify candidates and decide his or her application. In 2019, there will be several AI tools to help you communicate and screen candidates.


9. Advanced AI assistants will gain momentum

Apple’s Siri, Alexa and other such devices have already been benefiting consumers. AI assistants can answer your questions and play the music you desire. There will be more advanced AI-enabled assistants at homes and workforce. More and more enterprises are trying to provide individualized experiences with the help of AI.


10. AI will enhance in-store consumer experience

Artificial Intelligence will be used build loyalty and customer experience. Customers receive personalized recommendations when they shop online. Retailers will be able to offer the same level of benefits when customers shop online with the help of AI-based solutions.

So, what are your plans to adopt AI in 2019?

If you wish to up your AI game next year, you can speak to one of our experts before it’s too late.


  1. Amit Jindia says:

    Thanks for sharing such a great article. Please tell me more fields where AI is going to utilize.

  2. Aaron Xavier says:

    In fact your creative writing ability has inspired me with Artificial Intelligence. Really the article is spreading its wings rapidly. Thank you so much for the informative article.

  3. Greeme swan says:

    Wonderful information. No doubt it will be very useful for my future projects.

  4. Michael Kenn says:

    It was great information for me. I really appreciate your amazing work on this post and I am totally impressed.

  5. Micheal says:

    I simply wanted to write down a quick word to say thanks to you for that wonderful information you are showing on this site.

  6. Reyan Hinde says:

    Absolutely fabulous post in this period “Artificial Intelligence”. Very practical.

  7. Shaun Coulld says:

    Great post with lots of really useful tips for using AI

  8. micheal says:

    I believe there are many more pleasurable opportunities ahead for individuals that looked at your site.
    best artificial intelligence software

  9. Awesome post! Thanks for sharing the knowledge and keep up the good work.

  10. Turner Bell says:

    Your post is nice and easy to understand.
    Thanks for this amazing article. As you have mentioned remarkable trends of Artificial intelligence, I hope this will be shared for the year 2020, too. In addition, mobile app trends would be good to share.

    • Meenakshi Vashisht says:

      Hi Turner,

      Thank you for sharing your views. Check out our latest blog the next week for the Artificial Intelligence upcoming trends.

  11. Hardik says:

    Its a really nice website. Thanks for giving full information about Artificial Intelligence and Machine Learning.

  12. Ricky says:

    I am really happy to say it’s an interesting post to read . I learn new information from your article , you are doing a great job . Keep it up.

  13. Nikhil says:

    Great informative Blog that resolved all me queries, keep updating, Thanks

  14. ravali says:

    I am looking for and I love to post a comment that “The content of your post is awesome” Great work!

  15. Amrita says:

    Thanks for providing great informatic and looking beautiful blog, really nice required information & the things I never imagined, and I would request, wright more blog and blog post like that for us. Thank you once again

  16. Aarti says:

    Very interesting and it caught my attention. Bookmarking your article which will probably be my guide. Thank you very much.

  17. Robin says:

    Superb exertion to make this blog more awesome and appealing.

  18. Samyra says:

    This is a great motivational article. In fact, I am happy with your good work. They publish very supportive data, really. Continue. Continue blogging. Hope you explore your next post

  19. Namrata says:

    Crossover is a trend in the AI ​​industry in 2020.AI is getting more and more attention in the industry, and intelligent fault diagnosis is a typical direction. In recent years, a lot of research work on intelligent fault diagnosis has appeared. For example, the deep residual shrinkage network is an AI algorithm proposed for mechanical fault diagnosis. It takes a vibration signal as input, and because it contains a soft threshold layer, it works better when the vibration signal noise is strong.

  20. NuAIg says:

    AI and RPA have specially helped healthcare sector. RPA in healthcare has helped in managing the covid by using robots, drones and software to manage the spread and treatment of patients.

Leave a Reply

Your email address will not be published. Required fields are marked *