Black Friday. Cyber Monday. Tech Tuesday? The weekend surrounding Thanksgiving is full of opportunities to save big. This week sees even more action at the two-day AI and Big Data Conference
in Santa Clara, California. Though LinkedIn may show news of Silicon Valley upsets, no one has told these thought leaders, forward-thinking brands, and hot start-ups as this conference is expected to be the biggest yet.
In the spirit of the season, we thought we’d hone in on building a foundation for your digital transformation as you look to the new year.
Lay the Foundation
With AI at the heart of modern applications in today’s business world, it’s important to not only have digital leaders who can take the reins, but also, data scientists who are pivotal developers
. These are the individuals who have mastered the tools and skills of data science. They can understand and translate the data gathered via machine learning and AI for such common applications as predictive analytics, consumer experience, and image-based search.
To create an effective AI pipeline, developers need a place to store, manage, and control models as part of the DevOps lifecycle. In addition, they’ll need a data lake to store, aggregate, and prepare data for exploration, predictive modelling, and training. Like so many technologies of today, DevOps is part of an integrated collaboration environment, and is the baseline from which all pipeline functions emanate.
Things to Consider as You Build Your AI Strategy
Artificial Intelligence (AI) has been a buzzword for a number of years, but as many businesses are quickly coming to know, it’s important to have the right strategy
, and that includes knowing when to apply it to solve business problems, and when not.
Here are a few things to think about as you plan:
- Ask what problem you want AI to solve. Think it through. Identify where it can be most effective and understand that it is not a solution for everything. It’s a huge investment, so if there are other ways to solve your problem, identify those solutions first.
- Do your research. Consider the legal aspects as you analyze and set a benchmark for industry trends.
- Have a solid understanding of analytics. If you’re using AI in your business strategy, make sure you understand your data in order to either implement it successfully, or know enough to pull the plug.
- Educate Your Team by Including them in the transformation. Remind them it’s not about machines taking over their jobs, but that it’s an opportunity to grow. Offer opportunities for upskilling, and education.
Trends in Transformation
If your company wants to stay ahead of the competition
, now is the time to embrace the technology of the future. Create an immersive customer experience, pair your analysis with machine learning, and get comfortable with experimentation in support of your organization’s goals.
We’re looking forward to being inspired by the thought leaders and new tech evangelists at this week’s AI and Big Data Expo, discovering how businesses are using artificial intelligence, machine learning, and data analysis to find new ways to engage and improve their customer experience.
If you’re interested in Big Data and Analytics, we may have a role for you. We specialize in junior and senior roles. If you’re attending the Big Data and AI Expo in Silicon Valley, November 28 and 29, stop by our booth and say hi. We look forward to meeting you and can discuss opportunities on the spot.
If you can’t make it, you can check out our current vacancie
s or contact one of our recruitment consultants to learn more.
For our West Coast Team, call (415) 614 4999 or send an email to email@example.com
For our Mid-West and East Coast Teams, call (212) 796 6070 or send an email to firstname.lastname@example.org