Right now Bitcoin is bouncing along a 10k bottom. It has spent three weeks in a tight (for Bitcoin) trading range. To date, there is good support at this level and with tightening volatility it continues to look ripe for a breakout. If it is bottoming at 10K as it seems, then this is a good accumulation point.
Ethereum has announced last week a list of six different code changes to be activated for Ethereum’s next system-wide upgrade, Istanbul.
"Istanbul" will be executed in two parts. The first, which will feature all six code changes, is tentatively expected to execute on the Ethereum network in October. These improvements are expected to increase speed, efficiency and security.
Mike Tyson is making headlines with his Fight to Fame’s planned fan token offering; the tokens will apparently confer betting and voting rights on their holders and form part of a transparent blockchain-based economy for the entire ecosystem.
This follows the Litecoin Foundation partnered with premier kickboxing league Glory to become the official cryptocurrency for its online merchandise platform.
French soccer club Paris Saint-Germain was the first big-name club to enter the blockchain space when they partnered with blockchain platform Socios.com to incentivize and monetize fan engagement and experiences via a token ecosystem.
BTC is currently range-bound between 11 and 12k. This range looks like it is holding well. It is a good thing to see it holding but keep watch for a break-up or down for signs of future short term direction. I think we will see more upward price action if we break above 11,750. A break below 11,300 would signify a downward move. Hard to pick. For long term holders - still a buy
So what is driving the Bitcoin price rise over the last few weeks? For a start, global stock markets are tumbling due to the trade war talk between the US and China which is rattling investors.
Secondly, investors are waking up to Bitcoin as a hedge. Currencies are a lot more volatile than they have been and the interest rates attached to them are only going down.
Thirdly, the threat of currency manipulation by major players especially in the form of devaluation creates uncertainty and therefore makes Bitcoin a more considered option.
speculative....as are world markets right now.
For Litecoin, the halving did finally provide a boost with LTC/USD gaining just 13% over the past 24 hours. Many traders had factored in an increase already and bought, so when the announcement occurred the increase was limited.
The rise in bitcoin’s dominance rate to the highest level in over two years indicates the price rise is sustainable.
Easily breaking 11k the next resistance is 12k and with the Bitcoin dominance at multi-year highs we could easily see a run to 13k.
Buyer exhaustion is something to watch for but no signs are evident.
If there is a close above 11k we are going to see some more positive price action. This resistance level once broken will prove the recent floor of $9500 and give some comfort that BTC can create a new floor of 11k.
Watch BTC closely this week
In five days, litecoin will commence a reward halving.–
This is aimed at preserving cryptocurrency’s purchasing power.
The mining reward is currently set at 25 litecoins ($2,500) per block and will drop to 12.5 litecoins ($1,200) per block on Aug. 5.
So is it time to buy more?
My thought is that the halving is already priced in so no need to rush in.
It's a great coin to own but like all crypto it's volatile. If the price of Bitcoin moves up then it will follow the price rise.
The Bitcoin Network is Now 8 Times More Powerful Than It Was at $20K
Bitcoin’s transaction security has become much stronger
The hash rate has broken records as the figure nudges 80 TH/s.
This is eight times exceeding the computing power it had when the price of Bitcoin was around $20,000 in late 2017.
Good news as we head into greater takeup and adoption
In the age that we are living in, do you which is the technology causing maximum disruption? It is Artificial Intelligence, as per Gartner’s 2019 CIO Survey. So, it is clear that AI is being adopted and implemented across a plethora of industries. But, there is one thing that is blocking organizations from embracing AI in an optimum fashion which is the lack of suitable talent. There is an insufficient supply of AI engineers and data scientists in the market which is becoming a bottleneck for industries on their way to success.
According to the Chief Executive Officer of Hired, Mehul Patel, there is a 38% increase in the demand for competent data engineers along with a 27% enhancement in the demand for smart machine learning engineers, according to the new State of Software Engineer report.
As a matter of fact, employers are projected to face major challenges while seeking tech geniuses who won a flair for AI and machine learning, hence, there is going to be an intense competition amongst employers when hiring laborious tech experts. Which clearly indicates that this is a golden era for professionals well-versed with contemporary technologies. These developments are propelling companies to offer exorbitant salaries to their Machine learning engineers who are easily earning 20k more than other tech personnel around the globe.
Believe it or not, top-notch firms are going bonkers over AI and are willing to pay big bucks to acquire strong teams of people possessing AI certifications who can help them get a competitive advantage in their industry. A good example of this is McDonald's that ended up paying 300 Million Dollars for Dynamic Yield which is known to be an Artificial Intelligence company that enables other firms to strengthen their customer experience. But, what McDonald's achieved might not be a feasible move to make for other companies.
So what are the other routes to AI implementation? Here are some pragmatic ideas:
Artificial intelligence is taking a leap into multiple industries. Therefore, a myriad of automation tools has come into the picture which is used by startups as well as tech biggies. For instance, Microsoft has conceived a group of systems in order to streamline processes.
Implementing an effective automation platform for data science is the best thing that companies can do to make their data science teams more productive. Automation is the way to simplify tasks that were previously carried out by data scientists which enables important resources of a firm like data engineers, business analysts along with AI engineers to focus on a large-scale project that can simply be rum through GUI operation.
Automation has solved the issue of seeking new talent since most of the data science processes are performed by machines which helps the organizations maintain proficient data science teams at a low cost. But, this is definitely not a universal solution indicating that companies would not need qualified data scientists and AI engineers. To tell the truth, employers will still be in deep need for tech geeks holding AI certification, but at least, automation can ensure that the highly adroit employees do not waste their time mundane and monotonous activities.
In case, your workforce consists of people who are working as business analysts or have a functional knowledge of big data, they can prove to be eligible candidates for AI certifications that can infuse relevant skills into these employees. Certifications form the most solid avenue to learning Python as well as TensorFlow.
By good fortune, there is a whole line of certifications in that can help your employees delve into the world of AI and machine learning. Moreover, employers can make the smart move of hiring certified AI engineers who can lead big-scale technical projects along with mentoring freshman of the AI field.
Tech giants with sufficient resources can prepare for in-house training which can be conducted in large groups. There must company-wide training sessions and it is only possible when the organizations foster a data-driven culture. It is then that AI will be fully embraced and business leaders shall work hand in hand with data science teams to fulfill the overall objectives of the firm.