Artificial intelligence is starting to transform marketing—so make sure you’re up to speedAI has a long history as a marketing buzzword. But while we’ve been through a number of boom-and-bust hype cycles around artificial intelligence, recent technological developments and the increased availability of systems leveraging artificial intelligence have made it impossible to completely shrug off AI as vaporware or a fad. It’s (finally) time for brands to start thinking about AI.
Like it or not, as a PI/PO developer one will eventually face the need to develop certain custom Adapter Modules to fulfill specific customer requirements. So in this blog we are going to describe how this can be done in NWDS (SAP NetWeaver Development Studio) using NWDI (SAP NetWeaver Development Infrastructure). By doing this, custom java developments are secured in a center repository and can be shared with other developers easily.
During system integration in SAP PI, one of the most common things we generally encounter is value translation (or value mapping). And SAP has provided various approaches to handle it, for example using:In this blog, I am going to focus on the option of using a BRM decision table, and how to access it directly from a UDF (User Defined Function) library without any web service calls.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Obama AND Romney or Obama + Romney.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used.) For example, search for democrat OR republican to find results that refer to
Democrats and/or Republicans.
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".