Mainstream Job News Today

if you look at the headline numbers... but actually when you look at the actual results and also what companies are telling, there are two factors that matter to us, monetisation and capital expense. they look at monetisation, for example, across the board, we are seeing cloud revenue and contribution is almost like 5% for some of the companies out there. so that gives us comfort. in terms of graphics, clearly companies are spending on it, but in terms of compute, this is one area wher...

if you look at the headline numbers... is suggest that results are mixed. but actually when you look at the actual results and also what companies are telling, there are two factors that matter to us, monetisation and capital expense. they look at monetisation, for example, across the board, we are seeing cloud revenue and contribution is almost like 5% for some of the companies out there. so that gives us comfort. in terms of graphics, clearly companies are spending on it, but in term...

Community college system. we agreed to hide his identity so he could tell us how he pursued millions of dollars of federal grants to train students for green jobs he said didnt exist. >> what were the criteria? >> you had to identify a particular sector or fine data that showed where the jobs are. >> you are saying did you not see those jobs? >> thats correct. >> they werent there? >> they were not there. grant writers would take a look at it. the data wasnt there to support the grant applicatio...

Community college system. we agreed to hide his identity so he could tell us how he pursued millions of dollars of federal grants to train students for green jobs he said didnt exist. >> what were the criteria? >> you had to identify a particular sector or fine data that showed where the jobs are. >> you are saying did you not see those jobs? >> thats correct. >> they werent there? >> they were not there. grant writers would take a look at it. the data wasnt there to support the grant applicatio...

Community college system. we agreed to hide his identity so he could tell us how he pursued millions of dollars of federal grants to train students for green jobs he said didnt exist. >> what were the criteria? >> you had to identify a particular sector or fine data that showed where the jobs are. >> you are saying did you not see those jobs? >> thats correct. >> they werent there? >> they were not there. grant writers would take a look at it. the data wasnt there to support the grant applicatio...

Community college system. we agreed to hide his identity so he could tell us how he pursued millions of dollars of federal grants to train students for green jobs he said didnt exist. >> what were the criteria? >> you had to identify a particular sector or fine data that showed where the jobs ar >> you are saying did you not see those jobs? >> thats correct. >> they werent there? >> they were not there. grant writers would take a look at it. the data wasnt there to support the grant application....

So he could tell us how he pursued millions of dollars of federal grants to train students for green jobs he said didnt exist. >> what were the criteria? >> you had to identify a particular sector or fine data that showed where the jobs are. >> you are saying did you not see those jobs? >> thats correct. >> they werent there? >> they were not there. grant writers would take a look at it. the data wasnt there to support the grant application. >> what did you tell your grant writers to do? >> toil...

Latest updates on this topic.