How to Get Ahead of AI

0:00 a recent juniper report found 94 of

0:02 respondents said they're moderately or

0:04 very reliant on their ai systems to

0:07 assist in decision making but at the

0:09 same time

0:10 a mere nine percent have put policies

0:13 and procedures in place like

0:14 establishing a company-wide ai leader to

0:17 ensure responsible ai growth

0:19 that's a big gap in governance

0:22 bob friday juniper's chief ai officer

0:24 and co-founder of ms systems that's at

0:27 the very heart of juniper's own ai

0:29 portfolio is with us to share why this

0:31 could be a problem and how you can get

0:33 ahead of it so bob what's the biggest

0:35 risk for companies that don't work to

0:38 establish ai governments

0:40 yeah

0:41 jessica i would say there's probably

0:42 three big areas i would tell

0:44 businesses and companies to take a look

0:46 at in the context they died the first

0:48 one is around esg you know this is

0:51 really with your investors and your

0:52 customers you know are we going to start

0:54 to see our investors and our customers

0:56 requiring ai principles and guidelines

1:00 in their rfp

1:01 you know so that's one big risk area

1:03 they need to take a look at the second

1:04 is just around regulations you know what

1:06 we're seeing in europe right now you

1:08 know we're starting to see the first of

1:10 ai regulations really around defining

1:12 you know ai apps that do with safety

1:14 this is uh

1:15 medical cancer prediction thomas driving

1:18 that they're starting to put regulation

1:20 on these apps that you know

1:21 companies and businesses need to be

1:23 aware of in the us we're trying to see

1:24 it more distribute each fda each

1:27 department in the u.s is starting to

1:29 create their own framework so that's a

1:30 risk area that companies need keeping on

1:32 and finally another interesting one is

1:34 really around data violation

1:36 you know similar to open source where if

1:38 you put ip in your product or open

1:40 source

1:41 rights too

1:42 if you acquire companies that are using

1:44 ii you need to really make sure that

1:46 they have the right to use the data they

1:48 use to train those models

1:50 if you had one piece of advice for

1:52 companies balancing ai growth versus

1:54 governance what would it be

1:57 i'd say i had to give them two pieces of

1:58 advice you know one would be first of

2:00 all

2:01 do an internal audit both external and

2:04 internal for both your product you know

2:05 or using ai in your product and even

2:08 more importantly internally you know or

2:10 you're starting to see

2:11 uh ai tools and hr be bought right you

2:15 know make sure that you know people who

2:17 are actually using these ai2s

2:19 understands the responsibilities you

2:21 know and make sure they're not you know

2:23 unwittingly creating unfairness or bias

2:25 somewhere in the in the business

2:27 sometimes governance policies can hinder

2:29 growth can focusing on ai governance

2:32 actually lead to growth

2:35 well there's actually a governance you

2:36 actually need inside your you know

2:38 product teams you know and this is

2:40 really around if you're doing ml machine

2:43 learning models you need to make sure

2:45 you actually have governance in place to

2:47 actually look for data drift you know

2:49 because you'll actually see drift even

2:50 across the clouds you know because you

2:52 have different customer bases you know

2:54 if you're operating on the google cloud

2:55 versus the amazon or azure cloud you may

2:58 find that the model you train for the

3:00 google cloud is slightly different than

3:02 your customer base on your amazon cloud

3:05 you know so those that's cases where you

3:07 know

3:08 actually having governance in place will

3:09 actually help build a better product and

3:11 help accelerate product and i think the

3:13 other thing we talked about risk is you

3:15 know as we start to see ai principles

3:17 become more of an esg discussion uh if

3:20 you don't have these things in place

3:21 you'll start to see

3:23 investors asking for them or you'll

3:24 start to see these requirements pop up

3:27 in our your rfps

3:29 great well bob thanks for sharing your

3:31 insights on how companies can

3:33 responsibly get ahead with ai

3:35 to learn more we've included a link to

3:37 some juniper ai resources and bob's blog

3:40 below and while you're on the feed take

3:42 some time to soak up some more industry

3:44 news and knowledge

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