In this News Insight, the National Law Review looks at how AI is set to reshape wealth management, and maybe even become the manager. For a broader view, here's how AI could redefine other jobs in the finance industry. We are on the cusp of a revolution. While wealth managers have used computers to streamline complex analysis and to simplify customer service, the next wave of computational tools is already upon us. Artificial intelligence (AI), from predictive analysis to recommendation engines, will soon provide better decisions, more attentive client service, and a broader customer base for wealth managers willing to trust them.
Marketing software provider Marketo has gained new predictive scoring and content marketing features, thanks to two new integrations announced Monday. Marketo email marketers can now deliver quality content in a shorter period of time because of the company's partnership with Radius, a predictive marketing platform, and NewsCred, a content marketing solution. Marketo marketers now benefit from Radius' new predictive scoring program that ranks inbound leads by interest and likelihood of conversion. The SaaS solution is now integrated with Marketo's Engagement Marketing Platform, allowing marketers to segment marketing communication to prioritize prospects that are most likely to result in a sales victory. Additional features include segmentation based on ideal customer profiles, firmographics, social presence and trigger events such as indications to purchase.
Thank you for subscribing to the monthly THINK Marketing newsletter. Whenever we hear the word "digitalization," we must understand that it is the sound of inevitability and irreversibility. The digital economy isn't on the horizon anymore, it′s here and it is here to stay. It's no longer a secret that the digital economy is changing the world at an unprecedented rate. Companies that are looking to succeed in this fast emerging new economy must transform themselves by reinventing their business models, strategies, processes, and practices, and that impacts on the roles of all of its employees, as well as bringing departments to work together, once everyone is more and more dependent of technology to function.
While most of the attention for how artificial intelligence (AI), machine learning and big data can impact companies is focused on the business to consumer (B2C) space, business to business (B2B) companies need to pay attention or they risk their future success. Customers have the same expectations for a simple and easy buying experience whether it's a B2C or B2B interaction. So, if you're in the B2B space, I hope your organization is beginning to explore and plan for, if not already implemented, big data and machine learning to your operations.
Analytics has become a top priority for many organizations looking to wring business benefits out of the data (structured, unstructured and semi-structured). Moreover, big data is still relatively new with many organizations, and its significance in business processes and outcome has been changing every day. Most people consider business intelligence capabilities as an important starting point, thinking about structured data analysis and reporting. But considering advanced analytics, unstructured data, huge amounts of data and predictive models, business organizations should obtain much more knowledge – from massive parallel processing (MPP), cloud computing, social media data gathering and analysis to advanced statistics modeling, Hadoop framework skills and agile software development skills. In the U.S., the hiring scale is 73 for jobs that require big data skills, with 13 candidates per job opening (as of November 16, 2015).