The hunger for profit is driving the convergence of the digital and physical worlds, which raises some deeply disturbing privacy implications.
                    
			            - By Barry  Devlin
 - July 10, 2017
 
		            
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    Bias is everywhere -- even in analytics. The best way to control for bias is to incorporate a diversity of experiences and perspectives in the teams we use to design and maintain predictive, machine learning, and AI systems.
                    
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    The sooner your predictive analytics can predict an action, the more effective your marketing efforts can be.
                    
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    Predictive analytics, machine learning, automated decision rules, AI, and other security analytics technologies have transformed how we handle malicious hacking activity.   Are they adequate?
                    
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    Account-based marketing can profit from scalable data processing and predictive analytics, says the CEO in charge of Prophyts.
                    
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    Alteryx Server, a self-service platform for data preparation, is now available via Microsoft's Azure cloud service. Analysts and data scientists now have a way to deploy, manage, and govern their Alteryx practices in Azure. 
                    
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    How graph technology is used at NASA, the history and current state of cloud computing, and the 3 things you need to be ready for the Internet of Things.
                    
			            - By Lindsay  Stares
 - June 27, 2017
 
		            
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    These five competencies are required to build a successful predictive model.
                    
			            - By Fern  Halper
 - June 26, 2017