HOW HEADS OF DATA CAN JUMPSTART MACHINE LEARNING WITHOUT HIRING

摘要： Read on the extract of the guide “6 steps to jumpstart machine learning using the resources you already have” written by Explorium – it explains how senior data professionals can enable data science in their organizations with the resources they have available, how to use cutting-edge technology to make the most of your budget and expertise, enabling a productive, machine-learning- backed strategy:

It’s simply no longer enough to know how well your organization performed in the past. You need to know what’s coming so that you can figure out how to respond to market pressures and volatility, new trends, tastes, and technologies.

You need datasets drawn from inside and outside your organization, and you need data science to make sense of it. This is great if you have your own in-house team of data scientists.

WHAT IF YOU DON’T HAVE ANY MACHINE LEARNING EXPERTS IN YOUR ORGANIZATION?

Even if you’ve never incorporated sophisticated forms of data science into your operations before, you no doubt already have systems for data collection, management, and analytics in place.

In the best of times, no business leader wants to risk wasting resources on big projects that won’t deliver results. It’s up to you to demonstrate, first, how data analytics have already helped to improve visibility and drive best practices in your organization.

When highlighting the benefits of moving towards machine learning, explain how this approach will:

• Protect the business by giving your colleagues time and knowledge to prepare and strategize for fast-emerging threats.

• Help you identify new and alternative revenue opportunities at a time when core business operations may be hindered.

• Give your organization the gift of certainty at a volatile time, driving better decisions and avoiding costly mistakes.

STEP 1: FACILITATE COLLABORATION ACROSS THE ORGANIZATION

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