With 5G still in phased stages of development and deployment, it may seem premature to plan for the next generation of wireless communication technology. But with ambitious goals that build upon the current generation, it's not too early to begin addressing the technological, regulatory, geographical, and educational challenges that will be required to make ubiquitous 6G a reality This next generation of wireless technology is expected to bring even faster speeds, lower latency, and more bandwidth to instantly deliver massive amounts of data to and from more devices across decentralised, intelligent networks. Historically, technology research begins 10-15 years prior to the development of new industrial standards. Like 5G, some of 6G will be an evolution but some will be revolutionary, and taken as a whole, we can expect a step-function increase in technical capability. It envisages a society that by year 2030 is data-driven, enabled by near-instant, unlimited wireless connectivity.

A key inflation indicator, the core personal consumption expenditures, came in at 3.4%. Although this was the fastest increase since 1992, it came in largely as expected. Stocks continued their thunderous rally this week, officially forgetting about last week's Fed-induced downturn. Optimism was further bolstered by a bipartisan agreement on an infrastructure deal and banks passing the Fed's stress test in flying colors after yesterday's market close. The Dow Jones rose 160 points or 0.5%, the S&P 500 climbed 0.2% to hit another all-time high, and the Nasdaq gained 0.2%.

Keysight Technologies' business Ixia has incorporated machine learning technologies into its network monitoring platform. The new technologies will help the platform, called Hawkeye, to help enterprises reduce network outage times and improve network uptime by detecting, identifying, and resolving network anomalies. The company cites statistics from Gartner, which predicts that more than 50% of new enterprise applications will incorporate machine learning or other intelligence models. Ixia also notes that as the volume and velocity of raw network and application data continues to increase, network operations teams are faced with a flood of alerts. These teams need to reduce alert fatigue and increase their ability to troubleshoot network and application issues.