There are multiple tools, many platforms, and software of machine learning and artificial intelligence which are upcoming. Every industry is being impacted by these tools and platforms that are legal, healthcare, automobile, manufacturing and agriculture. Several brands which are famous like Google, Amazon, etc Have already been investing in such advanced technologies for years now. For exploring the new areas of these advanced technologies, they wish to be the leaders and trendsetters.
From the technologies related to artificial intelligence, there are several expectations. Here are 10 predominant trends which will dominant AI:
1. Automated Machine Learning will become critical
These are automated solution providers. 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. The desired customization is delivered by AutoML developers without the need for the 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
In the future, it is expected that edge computing will unleash the Artificial Intelligence and IOT power. It is expected that advanced Machine Learning models that are grounded in neural networks will be perfect to run on the 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 also 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 AI Ops
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.
6. Cybersecurity will depend on AI
AI will help enterprises to reinvent cybersecurity. Hackers are using newer techniques and ways to hack the 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 is 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 prequalify 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
Apples 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 the in-store consumer experience
Artificial Intelligence will be used to 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 AIbased solutions.