“Artificial intelligence and machine learning, with an eye toward task automation.”
For Senior Data Scientist James Buban at iHerb, those are just a couple of the tech trends he’ll be watching in 2020.
As companies enter a new decade, it’s important for their leaders to anticipate how the latest tech trends will evolve in order to determine how they can benefit their businesses and their customers. CEO of 20spokes Ryan Fischer said his company uses machine learning data to “provide a better user experience for our clients’ customers by leveraging data on individual user behavior.”
We asked Buban, Fischer and other local tech execs which trends they’re watching this year and how they’ll be utilizing them to enhance their businesses. From natural language processing to computer vision, these are the trends that will be shaping tech in 2020.
As a development agency, 20spokes specializes in helping startups plan, build and scale innovative products. CEO Ryan Fischer said he is looking to AI and machine learning to design better chatbots and wrangle large data sets.
What are the top tech trends you’re watching in 2020? What impact do you think these trends will have on your industry in particular?
In 2020, we expect AI to play an even bigger role for our clients. When we talk about AI, we are really discussing machine learning and using data to train a model to use patterns and inference.
Working with machine learning continues to get easier with many large providers working on simpler implementations, and we expect the barrier to entry to continue to lower in 2020. We also have more user data which allows us to use machine learning to design more tailored and intelligent experiences for users.
We are using machine learning to improve chatbots to create more dynamic dialogue.”
How are you applying these trends in your work in the year ahead?
At 20spokes, we use machine learning to provide a better user experience for our clients’ customers by leveraging data on individual user behavior to make more accurate recommendations and suggestions. We’re continuing to look at how we can apply it to different sets of data, from providing better insights of reports for large data sets to sending us real-time updates based on trained patterns. We are also using machine learning to improve chatbots to create more dynamic dialogue.
In order to deliver trusted insights on consumer packaged goods, Label Insight’s Senior Data Scientist James Buban said they have to first process large amounts of data. Using machine learning and automation, data collection processes can be finished quickly and more accurately for customers.
What are the top tech trends you’re watching in 2020?
The top tech trends that we’ll be watching in 2020 are artificial intelligence and machine learning, with an eye toward task automation. In particular, we are interested in advancements in computer vision, such as object detection and recognition. We are also interested in natural language processing, such as entity tagging and text classification. In general, we believe that machine learning automation will play a big role in both the data collection industry and in e-commerce, particularly in the relatively new addition of the food industry in the retail space.
We plan to use computer vision and natural language processing to automate tasks throughout 2020.”
How are you applying these trends in your work in the year ahead?
At Label Insight, we are building up a large database of attributes for consumables based on package information. To do so, we first need to collect all package data, which has traditionally been accomplished through a team of dedicated data entry clerks. Due to the huge volume of products that need to be added to our database, this data entry process is expensive, tedious and time-consuming.
Therefore, we plan to use computer vision and natural language processing to begin automating these tasks throughout 2020. We are also planning to use this technology to make our e-commerce solutions more scalable.
Credit: Google News
