We are about to elect a new secretary-general for the United Nations. But, "we the people", despite our prominence at the opening of the UN Charter, have almost nothing to do with filling one of the most important public posts in the world; nor, indeed, will the successful candidate be compelled to look after the interests of the world's seven billion people. Today, the UN Security Council - one of the opaquest bodies in the global governance system - is set to conduct its third informal "straw poll" to gauge levels of support for each candidate. At the last count, the results of this secret ballot, leaked to the media by member states, suggested the process was stalling with serious questions hanging over the viability of all but one candidate, the former Prime Minister of Portugal, Antonio Guterres. Eventually, although we won't be privy to exactly how or why, the Security Council will "recommend" a candidate to the General Assembly for rubber-stamping.
It's the day-to-day execution of effective data governance that actually leads to results, so it's essential that your organization gets up to speed as soon as possible. Create opportunities to connect staff members who are more well-versed in applying governance practices with those who are coming up the learning curve. Organizations that have already made progress advancing their governance strategy are often enthusiastic to share what they've learned -- and even help other organizations avoid the same mistakes they've previously made.
What you need to succeed in data security? If 2016 shapes up anything like the last quarter of 2015, data security in the IOT will continue to be a hot topic for all of us working to protect our work in the Cloud. In my last article, I discussed several trends that we are monitoring at SoftNet Search's IOT practice area. This time, I will weigh in on the kinds of people who will fulfill the needs of companies who are staying ahead of data security trends. According to all the people that matter, IT will continue to hire data security and other pros in 2016.
The terms artificial intelligence and machine learning are often projected as two sides of the same coin. Principally though, whilst the ML algorithms enhance AI capabilities, and enables them to do more cutting-edge and intelligent computing, there is an additional layer of perceived impenetrability which now cloaks the machine's capability to reason and arrive at impactful decisions. Industry pundits speculate about machine learning algorithms being a potential'Black Box', primarily due to the scepticism around trusting an ecosystem which exhibits limited transparency to its data compliance and decision making processes. The global data analyst community has helped design semi or fully-automated analytics systems that are AI or ML driven. However, the core and often-niggling issue of data quality may always prevail.
Former Australian Competition and Consumer Commission (ACCC) chairman Graeme Samuel will head the newly established Data Governance Australia (DGA), an independent body tasked with establishing industry standards around data. Speaking at the DGA launch in Melbourne on Tuesday, Samuel said that government should only step in to regulate where businesses have failed to do so themselves and said setting industry standards for the use, collection, and application of data is something that cannot be avoided much longer. "The best form of regulation is one that industry can develop for itself to meet current community expectations and importantly to anticipate community expectations into the future," he said. "The role of governments and regulators tends to be retrospective, tends to be a reaction to what has happened or what has been highlighted often in hysterical terms." What Samuel intends to do with the new industry body is cut down the often two-year time frame legislation tends to take when government steps in.