There are numerous classifications and definitions for Artificial Intelligence (AI) and these are evolving almost daily but, my simple view splits the technologies into 2 categories: Machine Learning , which includes automation and robotics (a.k.a. bots) . Analytics , which includes decision support (data manipulations to diagnose, optimize, or provide a result) and predictive support (forecasts and simulations to identify patterns, trends, and outcomes). Data literacy skills are essential to validate assumptions, confirm accuracy and ensure proper use of data in all areas of AI. Be sure your Data Scientist is more than just a statistician. The completeness, context and content of the data must be constantly appraised. So, once the number crunching is done, the results are available and the data-driven decisions are made, what's next? The next exciting challenge is to actually USE the results to improve your business. A few things to consider: Impacts : Prepare f
For business leaders grappling with time management, I have good news – your sales and marketing efforts are now automated and measurable. Simply put, sales and marketing approaches have been entirely redesigned around social media. It’s not a future, it’s a here and now and it’s moving fast. The buyers journey – from awareness to conversion – is the same but now the journey is digital and the Google search engine reigns supreme as the enabler. Here are a few key take-aways from the digital marketing conference I just attended. As always, your brand must be consistent and persistent, and your voice must be authentic, across all social media outlets. Your content should be relevant, valuable, and should address potential customers at all stages of their journey. Social media has the primary goal of driving traffic (social, that is) to your website. Your website has the ultimate goal of converting to a purchase decision but, it has the short-term goal of acquiring an email address