search.noResults

search.searching

dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
In contrast, fixed odds operators are functioning as the counterparty to every bet taken and, thus, sit in zero-sum relationship with customers in the context of any individual wager. Tis incentivises the operator to minimise the action accepted from successful and sophisticated customers, especially those that may be using algorithmic approaches to identifying profitable bets.


While the growth of sports betting will continue to fuel interest in automated trading strategies, fixed odds operators in the US are unlikely to welcome them on-platform any time soon.


How can companies ensure they leverage AI efficiently, specifically machine learning?


Properly and efficiently leveraging Artificial Intelligence (AI) and Machine Learning (ML) requires that a business possess an adequately nuanced understanding of the technology and how it can enhance the execution of their value


To the extent that a blockchain-based platform offers users desirable functionality that competitors do not, for example peer-to-peer betting in the US, there is certainly an opportunity to capitalise on the broader growth in cryptocurrency and distributed ledger technology. That said, the hurdles of customer education and market adoption, not to mention legislative risk, may provide regulated online B2C operators with a head start in combating these competitive advantages.


proposition. It is critical, but often quite complicated, to conduct high-fidelity cost/benefit analyses. Organisations also must properly bridge the communication gap that often exists between technical practitioners and non-technical business leaders.


Te most powerful Machine Learning models in the world are rendered useless in the face of biased, incomplete, or unstructured data sets. Tey are also susceptible to producing unexpected results when encountering foreign situations. Tus, intellectual capital is often the most valuable resource that can drive the proper infusion of AI into a business model.


Over the long-term, efficiently leveraging AI/ML will demand that the proper procedures and protocols are in place to ensure that the technology functions in the manner intended and doesn’t distract from the company’s ability to execute on its core competencies.


Will blockchain technology become more mainstream in the coming years?


Blockchain technology offers a number of compelling value-adds to the sports betting industry. Users benefit from the ease of deposits, guaranteed and timely nature of payouts, and transparency as relates to the integrity of the bookmaker or exchange. A properly implemented blockchain allows wagers to be placed without permitting any single party, including the business operator, to alter historical betting records or delay payment.


Te relative attractiveness of these features tends to vary geographically depending on the availability of substitute products in any given region, which is often directly linked to respective regulatory frameworks.


To the extent that a blockchain-based platform offers users desirable functionality that competitors do not, for example peer-to-peer betting in the US, there is certainly an opportunity to capitalise on the broader growth in cryptocurrency and distributed ledger technology. Tat said, the hurdles of customer education and market adoption, not to mention legislative risk, may provide regulated online B2C operators with a head start in combating these competitive advantages.


With the fragmented regulatory landscape within the US as a tailwind, blockchain technologists have a great opportunity to provide disruptive sports betting innovation, but also a number of challenges to overcome in the process.


What is the future for sports betting in the United States? How do you foresee the landscape changing in the next twelve months?


Over the next 12 months, we will continue to see operators enter into partnerships with media companies, teams, leagues, universities, and technology suppliers. Market access and customer acquisition will be some of the primary motivating factors.


We will also start to see more deal activity that brings critical functionality in-house. In an effort to further vertically integrate their offerings, operators will consider the acquisition of video streaming, oddsmaking, and payment processing technologies, among others.


From a regulatory perspective, 2021 is a non- election year with key legislative bodies in session. Potentially accelerated by COVID- related shortfalls in state tax revenue, it is expected to be a year that significantly expands the addressable sports betting market in the US.


I often think back to the first season-long fantasy baseball league I played in back in 2001. At the time, no one referred to them as “season- long” contests because there were no other varieties, such as daily fantasy, to warrant the qualification. Back then, speculation about the future of fantasy sports completely excluded the DFS category that ultimately came to completely redefine the industry. It is likely that a similar phenomenon is currently at play in the sports betting space, where future market projections fail to capture key revenue categories that simply do not exist today.


Ultimately, the growth and development of the sports betting market is occurring at a time when the entire fan engagement ecosystem is undergoing a process of digitisation, gamification, and interoperabilitisation. Te result should be a more robust fan experience, both at home and in-stadium, supported by an extensive collection of products and services that better enable users to engage with and enjoy their favourite teams and athletes.


NEWSWIRE / INTERACTIVE / MARKET DATA P117


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102  |  Page 103  |  Page 104  |  Page 105  |  Page 106  |  Page 107  |  Page 108  |  Page 109  |  Page 110  |  Page 111  |  Page 112  |  Page 113  |  Page 114  |  Page 115  |  Page 116  |  Page 117  |  Page 118  |  Page 119  |  Page 120  |  Page 121  |  Page 122  |  Page 123  |  Page 124  |  Page 125  |  Page 126  |  Page 127  |  Page 128  |  Page 129  |  Page 130  |  Page 131  |  Page 132  |  Page 133  |  Page 134