Connect with us

Blockchain

Success with automation and AI requires a high ‘RQ’

Republished by Plato

Published

on

Companies know that a high IQ can help drive business value. But the analyst outfit Forrester Research believes that if companies are going to successfully work side by side with artificially intelligent systems, they’re also going to need a high “RQ.”

RQ, or robotics quotient, is a measurement of how competent a company will be at automation and AI implementation. The Forrester assessment is based on three main areas: people, leadership and organizational structures. A fourth area, trust, will influence the three main categories and change depending on the type of technology being deployed.

J.P. Gownder, a Forrester analyst serving CIOs, described RQ as the “human contribution” companies need when deploying automation and AI technologies. “It’s not just about the bots; it’s not just about artificial intelligences,” he said in a July presentation at the New Tech and Innovation 2018 conference in Boston. “It’s about real people, real leaders and real organizational structures that you need to put in place to make sure you’re most likely to succeed.”

Toronto moments

Automation and AI technologies are on a spectrum from more deterministic, where A always leads to B, to more probabilistic, where A could lead to B but could also lead to C or to D.

And these probabilistic systems create a new wrinkle for companies: No matter how swanky the user interface or how cutting-edge the technology, probabilistic systems can produce incorrect — and even illogical — results that can erode the trust humans have in the machine’s abilities.

Gownder pointed to IBM Watson as an example. During its Jeopardy! debut in 2011, Watson answered a final question about U.S. cities with “Toronto,” causing the audience to gasp. When researchers did a post-mortem, it became clear that even Watson doubted the response. Using probabilistic judgement, the machine determined that Toronto had only a 30% chance of being correct, but it was the best answer it could come up with at the time.

These “Toronto moments,” as Forrester now refers to them, “teach us something about the intersection between human beings and AI and the trust that is part of this,” Gownder said.

The more probabilistic a system is, the more human intervention it might need. But designing systems and processes that strike a balance between trust and intervention will be a challenging step for companies. That’s where Forrester believes RQ will come in handy.

What is RQ?

The robotics quotient is a self-assessment that “measures the ability of individuals and organizations to learn and adapt to and collaborate with automated entities,” Gownder said. It’s composed of 39 characteristics that Forrester regards as a collection of automation and AI best practices.

J.P. Gownder

The higher the score, the more prepared a company is to tackle the new challenges that come with automation and AI technologies. But RQ doesn’t just measure readiness, according to Gownder. It also enables CIOs to “identify gaps or areas where you need to prioritize resources before you make a big bet on automation and AI,” he said.

The 39 characteristics fall into one of three categories — people, leadership and organizational structure. People, for example, are measured across different dimensions — such as facilitation, which considers how effective an employee might be at communicating with an automated entity, and perception, which includes things like basic digital literacy and “constructive ambition,” or an eagerness to learn.

For leaders, the RQ highlights vision, adaptability, the ability to inspire trust and influence. The final category refers to IT employees and beyond; CIOs will need to influence the C-suite and even the board of directors to secure the budget, buy-in and support that automation and AI tools can demand. “The CIO is no longer a benign dictator who has all the power,” Gownder said. “This is the creation of an ecosystem across business units with lots of participation from the workers themselves.”

Organizational structures will also need to adapt. Automation and AI may require new titles such as bot manager, new training and mentoring opportunities for humans and machines alike, new processes that encourage human-machine team creation, and new metrics. “After all, we can have all the good intentions, and the well-educated employees and the leaders who are on board,” Gownder said, “but if we do not create structures, processes and budgets — the b word — we’re going to have a hard time getting this through.”

Don’t forget about trust

The categories of people, leadership and the organization are then measured against one final category — trust. Gownder called trust “a multiplier in this model.” Automation and AI technologies exist on a spectrum from transparent to opaque, and where the technology falls on that spectrum will influence employee trust.

“If you’re implementing something that is very transparent, that is very deterministic, your employees will bring a high level of inherent trust to the machine. They’re used to these sorts of systems,” Gownder said. “If you’re using probabilistic systems, where the machine is often uncertain of its results, then you’re going to have a higher burden of RQ investment.”

Forrester’s model breaks down the complexity of trust by providing a numeric value for how deterministic the technology is, how transparent the technology is and how much change the technology could have on the workplace.

The changes that automation and AI will have on the workplace could be a sensitive area for leaders, especially as automation and AI instigate changes in the workforce. “As you might imagine, when employees are losing their jobs as part of a deployment of automation, you magnify the mistrust among remaining employees,” Gownder said. “It raises the bar for the change management.”

But the efforts could be worthwhile. As repetitive tasks become automated, job satisfaction generally goes up, Gownder said. And although AI remains in its early stages, it is poised to transform how companies operate and interact with customers.

Whether companies choose Forrester’s RQ method or not, Gownder argued that an organizational competency in AI and automation is needed.

“If you want to be successful in creating a mixed workforce that incorporates digital workers, human workers, lots of automated processes, lots of probabilities, lots of real-time data and AI, you’re going to have to measure your people, your leaders, your organization and the inherent trust that is associated with technology,” he said.

Source: https://searchcio.techtarget.com/feature/Success-with-automation-and-AI-requires-a-high-RQ

Blockchain

Litecoin Price Analysis: 22 January

Republished by Plato

Published

on

Disclaimer: The findings of the following analysis are the sole opinions of the writer and should not be taken as investment advice

The Bitcoin market registered an important price drop recently, one wherein the value of the digital asset dipped briefly under $30k on the charts. Although the cryptocurrency’s value later bounced back above the $30k-level, the said drop in price also contributed to major altcoins like Litecoin plunging on the charts.

Litecoin briefly breached the support at $125, following which it managed to recover from its sudden fall on the charts. At the time of writing, Litecoin was valued at $137.27, with the cryptocurrency trading close to its immediate resistance levels.

Litecoin one-hour chart

Source: LTCUSD on TradingView

From the attached chart, Litecoin’s price can be seen falling within a descending channel and hitting a low of $121.97. This low was followed by an immediate retracement as the market tried to stabilize. In fact, later, the price of the digital silver immediately pushed higher, which was why LTC was trading above $130, at press time.

Given the aforementioned drop, the digital asset may breach the resistance at $138 and be priced higher on the charts.

Reasoning

The 50 moving average moved above the price bars and acted as a resistance level for the price of LTC. The said fall pushed LTC into the oversold zone, with Bitcoin’s own depreciation on the charts contributing to growing selling pressure. However, as the price recovered, the Relative Strength Index also moved into the equilibrium zone. As this level looked like a consolidating range for LTC’s price, the emergence of bullish pressure may push it higher on the price scale.

Further, the Awesome Oscillator highlighted the momentum shifting towards the sellers’ side. The AO dipped under zero a couple of days back, and a short position of traders must have realized here as the market went on a downtrend. With the downtrend sustaining itself, all momentum in the market was lost.

Crucial levels to look out for

Entry: $138.03
Stop-Loss: $134.73
Take-Profit: $144.88
Risk-to-Reward: 2.39

Conclusion

The press time price level looked like a consolidating level for Litecoin. However, a northbound push for the digital asset may result in traders benefiting from a long position as they realize a profit at $144.88.

Source: https://ambcrypto.com/litecoin-price-analysis-22-january

Continue Reading

Blockchain

VanEck files for a ‘Digital Asset ETF’ with the SEC

Republished by Plato

Published

on

According to a filing published today by the United States’ Securities and Exchange Commission, New York-based investment management firm VanEck intends to launch a Digital Assets ETF, one that will track as closely as possible, before fees and expenses, “the price and yield performance of the MVIS® Global Digital Assets Equity Index.”

The fund will invest in companies that generate at least 50% of their revenue from digital asset projects, or developing projects that have the potential to generate half of their revenue from the digital assets industry.

It should be noted, however, that the term “digital asset industry” is by and large a broad terminology for companies that operate digital asset exchanges, payment gateways, mining operations, software services, equipment, and technology. This may well mean that there is potential for companies like Coinbase to be included in the fund after a successful IPO.

The SEC filing also notes that this fund will invest in companies that hold a significant amount of digital assets on their balance sheets. This suggests that companies like MicroStrategy may be a part of its portfolio, considering its own billion-dollar Bitcoin holdings.

The New York-based investment firm isn’t a stranger to SEC filings. VanEck had previously submitted applications for Bitcoin-based ETFs with the SEC, with a majority of them being rejected by the regulatory agency for a host of reasons.

On the contrary, back in September 2019, VanEck withdrew its application for a Bitcoin ETF. Interestingly, the verdict on its most recent application for an ETF, titled “VANECK BITCOIN TRUST” is still undecided.

If the development comes to pass, it will be a huge step, especially since the said offering will be launching in a country where regulatory agencies have often been seen with a suspicious eye. In Europe, on the other hand, crypto-ETPs surpassed a billion Euros in assets in 2020, despite a regulatory ban on selling these products to retail investors in the U.K.

While a crypto-ETF is still yet to be officially approved in the U.S, many investment advisors have cited concerns saying that without a crypto exchange-traded fund, there is little incentive for registered investment advisors to put clients’ cash into crypto.

Source: https://ambcrypto.com/vaneck-files-for-a-digital-asset-etf-with-the-sec

Continue Reading

Blockchain

Stellar Lumens, Steem, Maker Price Analysis: 22 January

Republished by Plato

Published

on

Stellar Lumens registered significant losses recently. However, since a lot of the asset wasn’t sold on the market, XLM could see some upside in the next day or two. STEEM also showed signs that it was poised for a bounce while Maker slipped under a triangle pattern and could move towards $1000 on the price charts.

Stellar Lumens [XLM]

Stellar Lumens, Steem, Maker Price Analysis: 22 January

Source: XLM/USD on TradingView

While Stellar Lumens did not show strength in the market with regard to its price, there was reason to believe that XLM was heading back towards the range high at $0.31. The trading volume was low over the past few days, and the OBV showed that there was not a significant volume of XLM sold over the past few sessions, despite strong losses.

The range lows at $0.223 offered some pushback and at the time of writing, XLM was trading under the mid-point of the range at $0.264.

While the momentum seemed bearish, rising above the mid-point and defending that level will be a reason to conclude that XLM is likely to move towards $0.31 once more.

Steem [STEEM]

Stellar Lumens, Steem, Maker Price Analysis: 22 January

Source: STEEM/USDT on TradingView

STEEM registered a local high at $0.22 earlier this month and set a lower high at $0.211 a few days ago. Since then, it has faced strong selling pressure, with the crypto trading at $0.177, at the time of writing.

It saw a candlewick below the $0.168-support level, but that was quickly bought up. The RSI registered a value of 38, indicating bearish momentum. Further, the Stochastic RSI was deep within the oversold territory.

Combined with the buying pressure that drove the price all the way up from the wick to $0.164, it could be that STEEM is poised to attempt a bounce to the $0.185-$0.19 region. The reaction there will set its next direction.

Maker [MKR]

Stellar Lumens, Steem, Maker Price Analysis: 22 January

Source: MKR/USDT on TradingView

The MACD was steadily falling further into bearish territory after MKR closed under a symmetrical triangle pattern and re-tested the $1400-level as resistance. The Directional Movement Index also showed that the -DMI (pink) and ADX (yellow) were both climbing past 20 on the charts to show that a strong downtrend was in progress.

The 38.2% level at $1200 could offer support to MKR, should it flip the level to support in the coming hours. Further downside for Bitcoin towards $27.7k will likely see MKR move towards $1000 as well.

Source: https://ambcrypto.com/stellar-lumens-steem-maker-price-analysis-22-january

Continue Reading
Blockchain5 days ago

Bitcoin Cash, Zcash, Decred Price Analysis: 17 January

Blockchain5 days ago

Ethereum, Monero, Algorand Price Analysis: 17 January

Blockchain5 days ago

Decred co-founder explains the possible effects of a CBDC takeover

Blockchain5 days ago

Cardano “Working On Something” That Could Solve Twitter’s Decentralization Dilemma

Blockchain5 days ago

Healthcare Jobs of the Future

Blockchain4 days ago

Charted: Chainlink (LINK) Remains In Strong Uptrend, Why It Could Test $25

Blockchain2 days ago

Ethereum Price Can Skyrocket to $10,500 According to Fundstrat

Blockchain5 days ago

Will Bitcoin see another trend reversal in 2021?

Blockchain2 days ago

TradingView Launches ‘Bitcoin Timeline’ to Show BTC Price Changes With Events

Blockchain5 days ago

Top 5 cryptocurrencies to watch this week: BTC, LINK, UNI, XTZ, ATOM

Blockchain4 days ago

Analyst: Hodlers will be this year’s biggest Bitcoin gainers

Blockchain5 days ago

DeFi’s death by a thousand cuts

Blockchain2 days ago

Over 31% of People in Latin America Want to Invest in Bitcoin

Blockchain3 days ago

Biden Appointed SEC Chair Gary Gensler is not Going to Save Ripple’s XRP Token

Blockchain5 days ago

Will Bitcoin cross $100000 by August 2021?

Blockchain2 days ago

Tether’s General Counsel: iFinex v. NYAG Case Continues with a Court Meeting in 30 Days

Blockchain5 days ago

Cardano, Cosmos, BAT Price Analysis: 17 January

Blockchain4 days ago

After alleged hack, Russian crypto exchange Livecoin shuts down

Blockchain5 days ago

Guggenheim CIO: ‘Speculative frenzy’ to die down, but $400k target still on

Blockchain5 days ago

Secure Bitcoin self-custody: Balancing safety and ease of use

Trending